Patent Grant
11727219
The disclosed implementations relate generally to digital assistants, and more specifically, to processing a speech input to a infer user intent therefrom.
Just like human personal assistants, digital assistants or virtual assistants can perform requested tasks and provide requested advice, information, or services. An assistant's ability to fulfill a user's request is dependent on the assistant's correct comprehension of the request or instructions. Recent advances in natural language processing have enabled users to interact with digital assistants using natural language, in spoken or textual forms, rather than employing a conventional user interface (e.g., menus or programmed commands). Such digital assistants can interpret the user's input to infer the user's intent, translate the inferred intent into actionable tasks and parameters, execute operations or deploy services to perform the tasks, and produce outputs that are intelligible to the user. Ideally, the outputs produced by a digital assistant should fulfill the user's intent expressed during the natural language interaction between the user and the digital assistant.
In order to perform natural language processing on speech inputs, the speech input is first converted to text (e.g., with a speech-to-text processor), and the converted text is then analyzed by a natural language processor to infer the user's intent. Consequently, any errors in the speech-to-text conversion (e.g., incorrect recognition of words in the speech input) will be propagated to the natural language processor, which may be unable to infer the user's intent due to the incorrect transcription of the words. For example, if a user provides a speech input such as “find show times for ‘Hansel and Gretel,”’ and the speech-to-text processor incorrectly converts the input to “find show times for cancel and Gretel,” the natural language processor may be unable to find any movies with the name “cancel and Gretel,” and thus, unable to provide a satisfactory response to the user.
Accordingly, there is a need for systems and methods to infer user intent from a speech input so as to account for possible speech recognition errors.
The implementations described herein provide natural language processing systems and methods for determining a user's intent from a natural language input.
Natural language processing is specifically designed to free users from having to know arcane syntax and specialized command structures in order to communicate with computers. This feature of natural language processing is particularly useful in the context of digital assistants, because different people will formulate requests in different ways, and the digital assistant should be flexible enough to understand the user's intent regardless of the particular syntax or wording of a request. In particular, a digital assistant should be able to infer that speech inputs such as “set an alarm for six AM” and “wake me up tomorrow at six” are both requesting the same action. Natural language processors are, therefore, able to infer a user's intent by attempting to understand the meaning of the input, rather than by simply processing commands that are input according to a known syntax or command structure.
One technique for accomplishing this, as described herein, is to process inputs using an ontology that is organized into “domains,” where domains relate to real-world concepts and/or tasks that the digital assistant can perform. In some implementations, a text string corresponding to a speech input is analyzed in light of the ontology to determine a domain that the text string most likely implicates. After (or as part of) determining the domain, the natural language processor identifies an “actionable intent” (i.e., a task that can be performed by the digital assistant) to be performed in response to the user's input.
The domain and/or the actionable intent is determined, at least in part, based on the particular words in the text string. In particular, domains are associated with lists of words that relate to the domain. For example, the word “remind” might be included in a word list for a “reminder” domain, but might not appear in a “restaurant reservation” domain. Similarly, the word “reservation” may be associated with a “restaurant reservation” domain, but not with a “reminder” domain.
Moreover, some domains are associated with “named entity” lists that include names of particular people, places, or things of particular salience to the domain. For example, a “movie” domain is associated with a named entity list including a list of known movie names. Similarly, a “communication” domain is associated with a contact list and/or address book including names of contacts. Accordingly, the natural language processor will be able to quickly identify that the phrase “The Breakfast Club” identifies a particular movie; that the phrase “Cheesecake Factory” identifies a particular restaurant; that the name “Andy Bernard” identifies a particular person; and so on.
The natural language processor also determines a confidence score representing how well or to what extent a user input matches a particular domain or actionable intent. The confidence score can be used, for example, to help determine which of two candidate domains is most likely to accurately reflect or represent the intent of the input. The confidence score can also be used to determine whether any of the domains or actionable intents are sufficiently relevant to the user input to justify selection of that domain or actionable intent. For example, in some implementations, the natural language processor is configured so that if no candidate domain satisfies a predetermined confidence threshold, the digital assistant will not provide a response.
Moreover, the natural language processor may be able to determine a likely domain for a given user input, but be unable to determine what the user is specifically requesting. For example, the natural language processor may be able to determine that an input “movie times for Titanic” relates to a movie domain, but it is unable to satisfy the user's request because it does not recognize that the word “Titanic” is a movie name (e.g., because it is not in the list of known movie titles). These problems may be especially apparent where a speech-to-text (STT) process provides imperfect transcriptions. For example, if an STT process mistakenly transcribes the speech input “movie times for Argo” as “movie times for are go,” the natural language processor may be unable to provide a suitable response because, although it can determine that the request relates to a “movie” domain, it cannot identify what movie the user was referring to.
According to some implementations described herein, errors such as those described above are mitigated by performing a domain-specific word-matching process on the text string after the domain is determined. For example, the natural language processor receives a text string corresponding to a speech input, and determines a domain of the text string by applying a first word-matching process (e.g., comparing the words in the text string to words associated with many different domains). Once the domain is determined, if the natural language processor cannot adequately determine the user's intent (e.g., the specific action that the user is requesting), the natural language processor performs a second word-matching process of at least a part of the text string in order to better identify what the user may have said.
For example, in some implementations, the second word-matching process includes applying a more relaxed matching criteria than the first word-matching process. Specifically, the first word-matching process may require an exact match between words in the text string and words in (or associated with) the domains, whereas the second word-matching process requires only an approximate string match or a phonetic match.
Also, in some implementations, the second word-matching process is limited to words that are associated with the domain that was determined for the text string. As a specific example, for a text string “show times for cancel and kettle,” the natural language processor easily determines that the text string relates to a “movie” domain, but does not initially find any matches or relevance to the phrase “cancel and kettle.” Thus, the natural language processor re-processes the text string (or a portion thereof) to search for word matches in a vocabulary that is specific to the “movie” domain (e.g., a list of known movie titles). By limiting the search scope to in-domain words, and/or applying more relaxed matching criteria, the natural language processor can determine that the text actually refers to the movie “Hansel and Gretel,” and thus provide a suitable response to the user where it otherwise may have failed to do so.
Another way to mitigate errors such as those described above is to apply natural language processing to multiple different text strings from the STT processor, identify domains and/or actionable intents for each of the multiple text strings, and adopt the domain and/or actionable intent with the highest confidence score. Specifically, an STT processor typically generates multiple candidate text strings for a given speech input, and selects only what it determines to be the “best” to provide to the natural language processor (e.g., based on a speech recognition confidence score). However, this selection may not always accurately reflect the speech input (e.g., “cancel and kettle,” as described above). Indeed, the correct text string may have even been generated as a candidate text string, but ultimately passed over in favor of another text string.
In some implementations, the natural language processor processes several of the candidate text strings produced by the STT processor to determine a user intent for each text string. The natural language processor then selects one of the text strings based at least partially on a confidence score representing how well or to what extent the text string matches a particular domain or a particular task associated with a domain. Thus, the natural language processor can leverage its powerful intent deduction abilities to help select the text string that most likely reflects the actual words in the speech input.
The implementations disclosed herein provide methods, systems, computer readable storage medium and user interfaces for determining a user intent from a text string and/or a speech input.
According to some implementations, a method is performed at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors. A text string corresponding to a speech input is provided, wherein the text string comprises a first portion and a second portion. A domain of the text string is determined using natural language processing by applying a first word-matching process to at least the first portion of the text string. It is determined whether the second portion of the text string matches at least one word of a set of words associated with the domain by applying a second word-matching process to the second portion of the text string. Upon determining that the second portion of the text string matches at least one word of the set of words, a user intent is determined from the text string based at least in part on the domain and the at least one word of the set of words.
In some implementations, word-matching criteria applied by the second word-matching process is more relaxed than word-matching criteria applied by the first word-matching process. In some implementations, the first word-matching process requires exact matches between words, and the second word-matching process does not require exact matches between words. In some implementations, the second word-matching process applies approximate string matching techniques.
In some implementations, the second word-matching process comprises determining an edit distance between a word of the second portion of the text string and a word of the set of words associated with the domain. In some implementations, the edit distance is a Levenshtein distance.
In some implementations, the second word-matching process applies phonetic matching techniques.
In some implementations, one or more actions to satisfy the user intent are performed. In some implementations, performing the one or more actions includes making a restaurant reservation, providing information about a movie to a user, initiating a communication with another user, etc.
According to some implementations, a method is performed at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors. A plurality of candidate text strings for a speech input are provided, wherein the candidate text strings are generated by a speech recognition process. At least a subset of the plurality of candidate text strings is selected, the subset including at least two candidate text strings. A plurality of user intents are determined from the selected subset of the plurality of text strings. A user intent is selected from the plurality of user intents.
In some implementations, the plurality of user intents are associated with a plurality of intent deduction confidence scores. In some implementations, the user intent is selected based on the plurality of intent deduction confidence scores. In some implementations, the selected user intent is the user intent with the highest intent deduction confidence score.
In some implementations, the plurality of candidate text strings are associated with a plurality of speech recognition confidence scores. In some implementations, the user intent is selected based on the speech recognition confidence scores and the intent deduction confidence scores.
In some implementations, a plurality of composite confidence scores are determined for the plurality of user intents. In some implementations, a composite confidence score is a combination of a respective speech recognition confidence score and a respective intent deduction confidence score. In some implementations, a composite confidence score is a sum of a respective speech recognition confidence score and a respective intent deduction confidence score. In some implementations, a composite confidence score is an average of a respective speech recognition confidence score and a respective intent deduction confidence score. In some implementations, a composite confidence score is a weighted average of a respective speech recognition confidence score and a respective intent deduction confidence score.
In some implementations, the selected user intent is the user intent with the highest composite confidence score.
In some implementations, one or more actions to satisfy the user intent are performed. In some implementations, performing the one or more actions includes making a restaurant reservation, providing information about a movie to a user, initiating a communication with another user, etc.
According to some implementations, a method is performed at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors. A plurality of text strings corresponding to a speech input are provided, wherein the plurality of text strings is associated with a plurality of speech recognition confidence scores and a plurality of user intents, and wherein the plurality of user intents is associated with a plurality of intent deduction confidence scores. One of the plurality of user intents is selected based on one or both of the speech recognition confidence scores and the intent deduction confidence scores.
In some implementations, a plurality of composite confidence scores are determined for the plurality of user intents. In some implementations, a composite confidence score is a combination of a respective speech recognition confidence score and a respective intent deduction confidence score. In some implementations, a composite confidence score is a sum of a respective speech recognition confidence score and a respective intent deduction confidence score. In some implementations, a composite confidence score is an average of a respective speech recognition confidence score and a respective intent deduction confidence score. In some implementations, a composite confidence score is a weighted average of a respective speech recognition confidence score and a respective intent deduction confidence score.
In sonic implementations, the selected user intent is the user intent with the highest composite confidence score.
In some implementations, one or more actions to satisfy the user intent are performed. In some implementations, performing the one or more actions includes making a restaurant reservation, providing information about a movie to a user, initiating a communication with another user, etc.
In accordance with some embodiments, an electronic device includes one or more processors, memory, and one or more programs; the one or more programs are stored in the memory and configured to be executed by the one or more processors and the one or more programs include instructions for performing the operations of any of the methods described above. In accordance with some embodiments, a computer readable storage medium has stored therein instructions which when executed by an electronic device, cause the device to perform the operations of any of the methods described above. In accordance with some embodiments, an electronic device includes: means for performing the operations of any of the methods described above. In accordance with some embodiments, an information processing apparatus, for use in an electronic device, includes means for performing the operations of any of the methods described above.
The details of one or more implementations of the subject matter described in this specification are set forth in the accompanying drawings and the description below. Other features, aspects, and advantages of the subject matter will become apparent from the description, the drawings, and the claims.
Like reference numerals refer to corresponding parts throughout the drawings.
Specifically, a digital assistant is capable of accepting a user request at least partially in the form of a natural language command, request, statement, narrative, and/or inquiry. Typically, the user request seeks either an informational answer or performance of a task by the digital assistant. A satisfactory response to the user request is either provision of the requested informational answer, performance of the requested task, or a combination of the two. For example, a user may ask the digital assistant a question, such as “Where am I right now?” Based on the user's current location, the digital assistant may answer, “You are in Central Park near the west gate.” The user may also request the performance of a task, for example, “Please invite my friends to my girlfriend's birthday party next week.” In response, the digital assistant may acknowledge the request by saying “Yes, right away,” and then send a suitable calendar invite on behalf of the user to each of the user' friends listed in the user's electronic address book. During performance of a requested task, the digital assistant sometimes interacts with the user in a continuous dialogue involving multiple exchanges of information over an extended period of time. There are numerous other ways of interacting with a digital assistant to request information or performance of various tasks. In addition to providing verbal responses and taking programmed actions, the digital assistant also provides responses in other visual or audio forms, e.g., as text, alerts, music, videos, animations, etc.
An example of a digital assistant is described in Applicant's U.S. Utility application Ser. No. 12/987,982 for “Intelligent Automated Assistant,” filed Jan. 10, 2011, the entire disclosure of which is incorporated herein by reference.
As shown in
In some implementations, the DA server 106 includes a client-facing I/O interface 112, one or more processing modules 114, data and models 116, and an I/O interface to external services 118. The client-facing I/O interface facilitates the client-facing input and output processing for the digital assistant server 106, The one or more processing modules 114 utilize the data and models 116 to determine the user's intent based on natural language input and perform task execution based on inferred user intent. In some implementations, the DA-server 106 communicates with external services 120 through the network(s) 110 for task completion or information acquisition. The I/O interface to external services 118 facilitates such communications.
Examples of the user device 104 include, but are not limited to, a handheld computer, a personal digital assistant (PDA), a tablet computer, a laptop computer, a desktop computer, a cellular telephone, a smart phone, an enhanced general packet radio service (EGPRS) mobile phone, a media player, a navigation device, a game console, a television, a remote control, or a combination of any two or more of these data processing devices or other data processing devices. More details on the user device 104 are provided in reference to an exemplary user device 104 shown in
Examples of the communication network(s) 110 include local area networks (“LAN”) and wide area networks (“WAN”), e.g., the Internet. The communication network(s) 110 may be implemented using any known network protocol, including various wired or wireless protocols, such as e.g., Ethernet, Universal Serial Bus (USB), FIREWIRE, Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Wi-Fi, voice over Internet Protocol (VOIP), Wi-MAX, or any other suitable communication protocol.
The server system 108 is implemented on one or more standalone data processing apparatus or a distributed network of computers. In some implementations, the server system 108 also employs various virtual devices and/or services of third party service providers (e.g., third-party cloud service providers) to provide the underlying computing resources and/or infrastructure resources of the server system 108.
Although the digital assistant shown in
For example, a motion sensor 210, a light sensor 212, and a proximity sensor 214 are coupled to the peripherals interface 206 to facilitate orientation, light, and proximity sensing functions. One or more other sensors 216, such as a positioning system (e.g., GPS receiver), a temperature sensor, a biometric sensor, a gyro, a compass, an accelerometer, and the like, are also connected to the peripherals interface 206, to facilitate related functionalities.
In some implementations, a camera subsystem 220 and an optical sensor 222 are utilized to facilitate camera functions, such as taking photographs and recording video clips. Communication functions are facilitated through one or more wired and/or wireless communication subsystems 224, which can include various communication ports, radio frequency receivers and transmitters, and/or optical (e.g., infrared) receivers and transmitters. An audio subsystem 226 is coupled to speakers 228 and a microphone 230 to facilitate voice-enabled functions, such as voice recognition, voice replication, digital recording, and telephony functions.
In some implementations, an I/O subsystem 240 is also coupled to the peripheral interface 206. The I/O subsystem 240 includes a touch screen controller 242 and/or other input controller(s) 244. The touch-screen controller 242 is coupled to a touch screen 246. The touch screen 246 and the touch screen controller 242 can, for example, detect contact and movement or break thereof using any of a plurality of touch sensitivity technologies, such as capacitive, resistive, infrared, surface acoustic wave technologies, proximity sensor arrays, and the like. The other input controller(s) 244 can be coupled to other input/control devices 248, such as one or more buttons, rocker switches, thumb-wheel, infrared port, USB port, and/or a pointer device such as a stylus.
In some implementations, the memory interface 202 is coupled to memory 250. The memory 250 can include high-speed random access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, one or more optical storage devices, and/or flash memory (e.g., NAND, NOR).
in some implementations, the memory 250 stores an operating system 252, a communication module 254, a user interface module 256, a sensor processing module 258, a phone module 260, and applications 262. The operating system 252 includes instructions for handling basic system services and for performing hardware dependent tasks. The communication module 254 facilitates communicating with one or more additional devices, one or more computers and/or one or more servers. The user interface module 256 facilitates graphic user interface processing and output processing using other output channels (e.g., speakers). The sensor processing module 258 facilitates sensor-related processing and functions. The phone module 260 facilitates phone-related processes and functions. The application module 262 facilitates various functionalities of user applications, such as electronic-messaging, web browsing, media processing, Navigation, imaging and/or other processes and functions.
As described in this specification, the memory 250 also stores client-side digital assistant instructions (e.g., in a digital assistant client module 264) and various user data 266 (e.g., user-specific vocabulary data, preference data, and/or other data such as the user's electronic address book, to-do lists, shopping lists, user-specified name pronunciations, etc.) to provide the client-side functionalities of the digital assistant.
In various implementations, the digital assistant client module 264 is capable of accepting voice input (e.g., speech input), text input, touch input, and/or gestural input through various user interfaces (e.g., the I/O subsystem 244) of the user device 104. The digital assistant client module 264 is also capable of providing output in audio (e.g., speech output), visual, and/or tactile forms. For example, output can be provided as voice, sound, alerts, text messages, menus, graphics, videos, animations, vibrations, and/or combinations of two or more of the above. During operation, the digital assistant client module 264 communicates with the digital assistant server using the communication subsystems 224.
In some implementations, the digital assistant client module 264 includes a speech synthesis module 265. The speech synthesis module 265 synthesizes speech outputs for presentation to the user. The speech synthesis module 265 synthesizes speech outputs based on text provided by the digital assistant. For example, the digital assistant generates text to provide as an output to a user, and the speech synthesis module 265 converts the text to an audible speech output. The speech synthesis module 265 uses any appropriate speech synthesis technique in order to generate speech outputs from text, including but not limited to concatenative synthesis, unit selection synthesis, diphone synthesis, domain-specific synthesis, formant synthesis, articulatory synthesis, hidden Markov model (HMM) based synthesis, and sinewave synthesis.
In some implementations, instead of (or in addition to) using the local speech synthesis module 265, speech synthesis is performed on a remote device (e.g., the server system 108), and the synthesized speech is sent to the user device 104 for output to the user. For example, this occurs in some implementations where outputs for a digital assistant are generated at a server system. And because server systems generally have more processing power or resources than a user device, it may be possible to obtain higher quality speech outputs than would be practical with client-side synthesis.
In some implementations, the digital assistant client module 264 utilizes the various sensors, subsystems and peripheral devices to gather additional information from the surrounding environment of the user device 104 to establish a context associated with a user, the current user interaction, and/or the current user input. In some implementations, the digital assistant client module 264 provides the context information or a subset thereof with the user input to the digital assistant server to help infer the user's intent. In some implementations, the digital assistant also uses the context information to determine how to prepare and delivery outputs to the user.
In some implementations, the context information that accompanies the user input includes sensor information, e.g., lighting, ambient noise, ambient temperature, images or videos of the surrounding environment, etc. In some implementations, the context information also includes the physical state of the device, e.g., device orientation, device location, device temperature, power level, speed, acceleration, motion patterns, cellular signals strength, etc. In some implementations, information related to the software state of the user device 104, e.g., running processes, installed programs, past and present network activities, background services, error logs, resources usage, etc., of the user device 104 are provided to the digital assistant server as context information associated with a user input.
In some implementations, the DA client module 264 selectively provides information (e.g., user data 266) stored on the user device 104 in response to requests from the digital assistant server. In some implementations, the digital assistant client module 264 also elicits additional input from the user via a natural language dialogue or other user interfaces upon request by the digital assistant server 106. The digital assistant client module 264 passes the additional input to the digital assistant server 106 to help the digital assistant server 106 in intent deduction and/or fulfillment of the user's intent expressed in the user request.
In various implementations, the memory 250 includes additional instructions or fewer instructions. Furthermore, various functions of the user device 104 may be implemented in hardware and/or in firmware, including in one or more signal processing and/or application specific integrated circuits.
The digital assistant system 300 includes memory 302, one or more processors 304, an input/output (I/O) interface 306, and a network communications interface 308. These components communicate with one another over one or more communication buses or signal lines 310.
In some implementations, the memory 302 includes a non-transitory computer readable medium, such as high-speed random access memory and/or a non-volatile computer readable storage medium (e.g., one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices).
In some implementations, the I/O interface 306 couples input/output devices 316 of the digital assistant system 300, such as displays, keyboards, touch screens, and microphones, to the user interface module 322. The I/O interface 306, in conjunction with the user interface module 322, receives user inputs (e.g., voice input, keyboard inputs, touch inputs, etc.) and processes them accordingly. In some implementations, e.g., when the digital assistant is implemented on a standalone user device, the digital assistant system 300 includes any of the components and I/O and communication interfaces described with respect to the user device 104 in
In some implementations, the network communications interface 308 includes wired communication port(s) 312 and/or wireless transmission and reception circuitry 314. The wired communication port(s) receive and send communication signals via one or more wired interfaces, e.g., Ethernet, Universal Serial Bus (USB), FIREWIRE, etc. The wireless circuitry 314 receives and sends RF signals and/or optical signals from/to communications networks and other communications devices. The wireless communications may use any of a plurality of communications standards, protocols and technologies, such as GSM, EDGE, CDMA, TDMA, Bluetooth, Wi-Fi, VoIP, Wi-MAX, or any other suitable communication protocol. The network communications interface 308 enables communication between the digital assistant system 300 with networks, such as the Internet, an intranet and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and/or a metropolitan area network (MAN), and other devices.
In some implementations, memory 302, or the computer readable storage media of memory 302, stores programs, modules, instructions, and data structures including all or a subset of: an operating system 318, a communications module 320, a user interface module 322, one or more applications 324, and a digital assistant module 326. The one or more processors 304 execute these programs, modules, and instructions, and reads/writes from/to the data structures.
The operating system 318 (e.g., Darwin, RTXC, LINUX, UNIX, OS X, WINDOWS, or an embedded operating system such as VxWorks) includes various software components and/or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communications between various hardware, firmware, and software components.
The communications module 320 facilitates communications between the digital assistant system 300 with other devices over the network communications interface 308. For example, the communication module 320 may communicate with the communication interface 254 of the device 104 shown in
The user interface module 322 receives commands and/or inputs from a user via the I/O interface 306 (e.g., from a keyboard, touch screen, pointing device, controller, and/or microphone), and generates user interface objects on a display. The user interface module 322 also prepares and delivers outputs (e.g., speech, sound, animation, text, icons, vibrations, haptic feedback, and light, etc.) to the user via the I/O interface 306 (e.g., through displays, audio channels, speakers, and touch-pads, etc.).
The applications 324 include programs and/or modules that are configured to be executed by the one or more processors 304. For example, if the digital assistant system is implemented on a standalone user device, the applications 324 may include user applications, such as games, a calendar application, a navigation application, or an email application. If the digital assistant system 300 is implemented on a server farm, the applications 324 may include resource management applications, diagnostic applications, or scheduling applications, for example.
The memory 302 also stores the digital assistant module (or the server portion of a digital assistant) 326. In some implementations, the digital assistant module 326 includes the following sub-modules, or a subset or superset thereof: an input/output processing module 328, a speech-to-text (STT) processing module 330, a natural language processing module 332, a dialogue flow processing module 334, a task flow processing module 336, a service processing module 338, and a speech interaction error detection module 339. Each of these modules has access to one or more of the following data and models of the digital assistant 326, or a subset or superset thereof: ontology 360, vocabulary index 344, user data 348, task flow models 354, and service models 356.
In some implementations, using the processing modules, data, and models implemented in the digital assistant module 326, the digital assistant performs at least some of the following: identifying a user's intent expressed in a natural language input received from the user; actively eliciting and obtaining information needed to fully infer the user's intent (e.g., by disambiguating words, names, intentions, etc.); determining the task flow for fulfilling the inferred intent and executing the task flow to fulfill the inferred intent.
In some implementations, as shown in
The speech-to-text processing module 330 (or speech recognizer) receives speech input (e.g., a user utterance captured in a voice recording) through the I/O processing module 328. In some implementations, the STT processing module 330 uses various acoustic and language models to recognize the speech input as a sequence of phonemes, and ultimately, a sequence of words or tokens written in one or more languages. The STT processing module 330 can be implemented using any suitable speech recognition techniques, acoustic models, and language models, such as Hidden Markov Models, Dynamic Time Warping (DTW)-based speech recognition, and other statistical and/or analytical techniques. In some implementations, the speech-to-text processing can be performed at least partially by a third party service or on the user's device. Once the STT processing module 330 obtains the result of the speech-to-text processing, e.g., a sequence of words or tokens, it passes the result to the natural language processing module 332 for intent deduction. In some implementations, the STT module 330 resides on a server computer (e.g., the server system 108), while in some implementations, it resides on a client device (e.g., the user device 104).
In some implementations, the STT processing module 330 provides more than one speech recognition result to the natural language processing module 332 for intent deduction. Specifically, the STT processing module 330 produces a set of candidate text strings, each representing a possible transcription of a speech input. In some implementations, each of the candidate text strings is associated with a speech recognition confidence score representing a confidence that the candidate text string is a correct transcription of the speech input.
In some implementations, the set of candidate text strings represents a portion of the text strings that the STT processing module 330 generates for a given speech input. For example, in some implementations, the set of candidate text strings includes text strings that have a speech recognition confidence score above a predetermined threshold. In some implementations, the set of candidate text strings includes the n-best text strings. (E.g., the 2, 5, 10 or 15 best text strings (or any other appropriate number), based on speech recognition confidence scores.)
When an utterance is received, the STT processing module 330 attempts to identify the phonemes in the utterance (e.g., using an acoustic model), and then attempts to identify words that match the phonemes (e.g., using a language model). For example, if the STT processing module 330 first identifies the sequence of phonemes “tuh-may-doe” in an utterance, it then determines, based on the vocabulary 344, that this sequence corresponds to the word “tomato.”
In some implementations, the STT processing module 330 uses approximate matching techniques to determine words in an utterance. Thus, for example, the STT processing module 330 can determine that the sequence of phonemes “duh-may-doe” corresponds to the word “tomato,” even if that particular sequence of phonemes is not one of the candidate pronunciations for that word.
The natural language processing module 332 (“natural language processor”) of the digital assistant takes the text string or text strings generated by the speech-to-text processing module 330 (also referred to as a sequence of words or tokens, or “token sequence”), and attempts to determine a domain of the token sequence and/or associate the token sequence with one or more “actionable intents” recognized by the digital assistant. An “actionable intent” represents a task that can be performed by the digital assistant, and has an associated task flow implemented in the task flow models 354. The associated task flow is a series of programmed actions and steps that the digital assistant takes in order to perform the task. The scope of a digital assistant's capabilities is dependent on the number and variety of task flows that have been implemented and stored in the task flow models 354, or in other words, on the number and variety of “actionable intents” that the digital assistant recognizes. The effectiveness of the digital assistant, however, is also dependent on the assistant's ability to infer the correct “actionable intent(s)” from the user request expressed in natural language.
In some implementations, in addition to the sequence of words or tokens obtained from the speech-to-text processing module 330, the natural language processor 332 also receives context information associated with the user request, e.g., from the I/O processing module 328. The natural language processor 332 optionally uses the context information to clarify, supplement, and/or further define the information contained in the token sequence received from the speech-to-text processing module 330. The context information includes, for example, user preferences, hardware and/or software states of the user device, sensor information collected before, during, or shortly after the user request, prior interactions (e.g., dialogue) between the digital assistant and the user, and the like. As described in this specification, context information is dynamic, and can change with time, location, content of the dialogue, and other factors.
In some implementations, the natural language processing is based on e.g., ontology 360. The ontology 360 is a hierarchical structure containing many nodes, each node representing either an “actionable intent” or a “property” relevant to one or more of the “actionable intents” or other “properties”. As noted above, an “actionable intent” represents a task that the digital assistant is capable of performing, i.e., it is “actionable” or can be acted on. A “property” represents a parameter associated with an actionable intent or a sub-aspect of another property. A linkage between an actionable intent node and a property node in the ontology 360 defines how a parameter represented by the property node pertains to the task represented by the actionable intent node.
In some implementations, the ontology 360 is made up of actionable intent nodes and property nodes. Within the ontology 360, each actionable intent node is linked to one or more property nodes either directly or through one or more intermediate property nodes. Similarly, each property node is linked to one or more actionable intent nodes either directly or through one or more intermediate property nodes. For example, as shown in
An actionable intent node, along with its linked concept nodes, may be described as a “domain.” In the present discussion, each domain is associated with a respective actionable intent, and refers to the group of nodes (and the relationships therebetween) associated with the particular actionable intent. For example, the ontology 360 shown in
While
In some implementations, the ontology 360 includes all the domains (and hence actionable intents) that the digital assistant is capable of understanding and acting upon. In some implementations, the ontology 360 may be modified, such as by adding or removing entire domains or nodes, or by modifying relationships between the nodes within the ontology 360.
In some implementations, nodes associated with multiple related actionable intents may be clustered under a “super domain” in the ontology 360. For example, a “travel” super-domain may include a cluster of property nodes and actionable intent nodes related to travels. The actionable intent nodes related to travels may include “airline reservation,” “hotel reservation,” “car rental,” “get directions,” “find points of interest,” and so on. The actionable intent nodes under the same super domain (e.g., the “travels” super domain) may have many property nodes in common. For example, the actionable intent nodes for “airline reservation,” “hotel reservation,” “car rental,” “get directions,” “find points of interest” may share one or more of the property nodes “start location,” “destination,” “departure date/time,” “arrival date/time,” and “party size.”
In some implementations, each node in the ontology 360 is associated with a set of words and/or phrases that are relevant to the property or actionable intent represented by the node. The respective set of words and/or phrases associated with each node is the so-called “vocabulary” associated with the node. The respective set of words and/or phrases associated with each node can be stored in the vocabulary index 344 in association with the property or actionable intent represented by the node. For example, returning to
The natural language processor 332 receives the token sequence (e.g., a text string) from the speech-to-text processing module 330, and determines what nodes are implicated by the words in the token sequence. In some implementations, if a word or phrase in the token sequence is found to be associated with one or more nodes in the ontology 360 (via the vocabulary index 344), the word or phrase will “trigger” or “activate” those nodes. Based on the quantity and/or relative importance of the activated nodes, the natural language processor 332 will select one of the actionable intents as the task that the user intended the digital assistant to perform. In some implementations, the domain that has the most “triggered” nodes is selected. In some implementations, the domain having the highest confidence score (e.g., based on the relative importance of its various triggered nodes) is selected. In some implementations, the domain is selected based on a combination of the number and the importance of the triggered nodes. In some implementations, additional factors are considered in selecting the node as well, such as whether the digital assistant has previously correctly interpreted a similar request from a user.
In some implementations, the natural language processor 332 determines a domain for a particular token sequence, but cannot initially determine (either at all or to a sufficient degree of confidence) a particular actionable intent for the token sequence. In some implementations, as described herein, the natural language processor 332 processes the token sequence again, for example, by relaxing its search and/or word-matching criteria, and/or by limiting its search to a particular domain or word list. Specifically, in some implementations, the natural language processor 332 relaxes a word-matching criteria relative to the initial processing (e.g., approximate string matching rather than exact string matching; phonetic matching instead of string matching, etc.). In some implementations, the natural Language processor 332 limits its subsequent processing of the token sequence to a particular list of words, such as a list of named entities that are associated with the identified domain (e.g., a list of known movie titles if the domain is a “movie” domain, a list of known restaurant names if the domain is a “restaurant reservation” domain, etc.) Further description of techniques for subsequent processing of a token sequence is provided herein, for example, with reference to
In some implementations, the natural language processor 332 receives multiple token sequences (e.g., text strings) from the STT processor 330, and processes them to determine a domain and/or an actionable intent for each token sequence (or at least a subset of the token sequences from the STT processing module 330). In some implementations, each domain and/or actionable intent is associated with an intent deduction confidence score representing a confidence that the determined domain and/or actionable intent correctly reflects the intent represented by the token sequence. A further description of techniques for processing multiple token sequences is provided herein, for example, with reference to
In some implementations, the digital assistant also stores names of specific entities in the vocabulary index 344, so that when one of these names is detected in the user request, the natural language processor 332 will be able to recognize that the name refers to a specific instance of a property or sub-property in the ontology. In some implementations, the names of specific entities are names of businesses, restaurants, people, movies, and the like. In some implementations, the digital assistant searches and identifies specific entity names from other data sources, such as the user's address book, a movies database, a musicians database, and/or a restaurant database. In some implementations, when the natural language processor 332 identifies that a word in the token sequence is a name of a specific entity (such as a name in the user's address book), that word is given additional significance in selecting the actionable intent within the ontology for the user request.
For example, when the words “Mr. Santo” are recognized from the user request, and the last name “Santo” is found in the vocabulary index 344 as one of the contacts in the user's contact list, then it is likely that the user request corresponds to a “send a message” or “initiate a phone call” domain. For another example, when the words “ABC Cafe” are found in the user request, and the term “ABC Cafe” is found in the vocabulary index 344 as the name of a particular restaurant in the user's city, then it is likely that the user request corresponds to a “restaurant reservation” domain.
User data 348 includes user-specific information, such as user-specific vocabulary, user preferences, user address, user's default and secondary languages, user's contact list, and other short-term or long-term information for each user. In some implementations, the natural language processor 332 uses the user-specific information to supplement the information contained in the user input to further define the user intent. For example, for a user request “invite my friends to my birthday party,” the natural language processor 332 is able to access user data 348 to determine who the “friends” are and when and where the “birthday party” would be held, rather than requiring the user to provide such information explicitly in his/her request.
Other details of searching an ontology based on a token string is described in U.S. Utility application Ser. No. 12/341,743 for “Method and Apparatus for Searching Using An Active Ontology,” filed Dec. 22, 2008, the entire disclosure of which is incorporated herein by reference.
In some implementations, once the natural language processor 332 identifies an actionable intent (or domain) based on the user request, the natural language processor 332 generates a structured query to represent the identified actionable intent. In some implementations, the structured query includes parameters for one or more nodes within the domain for the actionable intent, and at least some of the parameters are populated with the specific information and requirements specified in the user request. For example, the user may say “Make me a dinner reservation at a sushi place at 7.” In this case, the natural language processor 332 may be able to correctly identify the actionable intent to be “restaurant reservation” based on the user input. According to the ontology, a structured query for a “restaurant reservation” domain may include parameters such as {Cuisine}, {Time}, {Date}, {Party Size}, and the like. In some implementations, based on the information contained in the user's utterance, the natural language processor 332 generates a partial structured query for the restaurant reservation domain, where the partial structured query includes the parameters {Cuisine=“Sushi”} and {Time=“7 pm”}. However, in this example, the user's utterance contains insufficient information to complete the structured query associated with the domain. Therefore, other necessary parameters such as {Party Size} and {Date} are not specified in the structured query based on the information currently available. In some implementations, the natural language processor 332 populates some parameters of the structured query with received context information. For example, in some implementations, if the user requested a sushi restaurant “near me,” the natural language processor 332 populates a {location} parameter in the structured query with GPS coordinates from the user device 104.
In some implementations, the natural language processor 332 passes the structured query (including any completed parameters) to the task flow processing module 336 (“task flow processor”). The task flow processor 336 is configured to receive the structured query from the natural language processor 332, complete the structured query, if necessary, and perform the actions required to “complete” the user's ultimate request. In some implementations, the various procedures necessary to complete these tasks are provided in task flow models 354. In some implementations, the task flow models include procedures for obtaining additional information from the user, and task flows for performing actions associated with the actionable intent.
As described above, in order to complete a structured query, the task flow processor 336 may need to initiate additional dialogue with the user in order to obtain additional information, and/or disambiguate potentially ambiguous utterances. When such interactions are necessary, the task flow processor 336 invokes the dialogue processing module 334 (“dialogue processor 334”) to engage in a dialogue with the user. In some implementations, the dialogue processor 334 determines how (and/or when) to ask the user for the additional information, and receives and processes the user responses. The questions are provided to and answers are received from the users through the I/O processing module 328. In some implementations, the dialogue processor 334 presents dialogue output to the user via audio and/or visual output, and receives input from the user via spoken or physical (e.g., clicking) responses. Continuing with the example above, when the task flow processor 336 invokes the dialogue flow processor 334 to determine the “party size” and “date” information for the structured query associated with the domain “restaurant reservation,” the dialogue flow processor 335 generates questions such as “For how many people?” and “On which day?” to pass to the user. Once answers are received from the user, the dialogue flow processor 334 can then populate the structured query with the missing information, or pass the information to the task flow processor 336 to complete the missing information from the structured query.
In some cases, the task flow processor 336 may receive a structured query that has one or more ambiguous properties. For example, a structured query for the “send a message” domain may indicate that the intended recipient is “Bob,” and the user may have multiple contacts named “Bob.” The task flow processor 336 will request that the dialogue processor 334 disambiguate this property of the structured query. In turn, the dialogue processor 334 may ask the user “Which Bob?”, and display (or read) a list of contacts named “Bob” from which the user may choose.
Once the task flow processor 336 has completed the structured query for an actionable intent, the task flow processor 336 proceeds to perform the ultimate task associated with the actionable intent. Accordingly, the task flow processor 336 executes the steps and instructions in the task flow model according to the specific parameters contained in the structured query. For example, the task flow model for the actionable intent of “restaurant reservation” may include steps and instructions for contacting a restaurant and actually requesting a reservation for a particular party size at a particular time. For example, using a structured query such as: {restaurant reservation, restaurant=ABC Café, date=3/12/2012, time=7 pm, party size=5}, the task flow processor 336 may perform the steps of: (1) logging onto a server of the ABC Café or a restaurant reservation system such as OPENTABLE®, (2) entering the date, time, and party size information in a form on the website, (3) submitting the form, and (4) making a calendar entry for the reservation in the user's calendar.
In some implementations, the task flow processor 336 employs the assistance of a service processing module 338 (“service processor”) to complete a task requested in the user input or to provide an informational answer requested in the user input. For example, the service processor 338 can act on behalf of the task flow processor 336 to make a phone call, set a calendar entry, invoke a map search, invoke or interact with other user applications installed on the user device, and invoke or interact with third party services (e.g. a restaurant reservation portal, a social networking website, a banking portal, etc.). In some implementations, the protocols and application programming interfaces (API) required by each service can be specified by a respective service model among the services models 356. The service processor 338 accesses the appropriate service model for a service and generates requests for the service in accordance with the protocols and APIs required by the service according to the service model.
For example, if a restaurant has enabled an online reservation service, the restaurant can submit a service model specifying the necessary parameters for making a reservation and the APIs for communicating the values of the necessary parameter to the online reservation service. When requested by the task flow processor 336, the service processor 338 can establish a network connection with the online reservation service using the web address stored in the service model, and send the necessary parameters of the reservation (e.g., time, date, party size) to the online reservation interface in a format according to the API of the online reservation service.
In some implementations, the natural language processor 332, dialogue processor 334, and task flow processor 336 are used collectively and iteratively to infer and define the user's intent, obtain information to further clarify and refine the user intent, and finally generate a response (i.e., an output to the user, or the completion of a task) to fulfill the user's intent.
In some implementations, after all of the tasks needed to fulfill the user's request have been performed, the digital assistant 326 formulates a confirmation response, and sends the response back to the user through the I/O processing module 328. If the user request seeks an informational answer, the confirmation response presents the requested information to the user. In some implementations, the digital assistant also requests the user to indicate whether the user is satisfied with the response produced by the digital assistant 326.
The error detection module 339 detects errors in interactions between a user and the digital assistant. In some implementations, to detect errors, the error detection module 339 monitors interactions between a user and the digital assistant, and/or between a user and a user device. For example, the error detection module 339 monitors any of the following types of interactions, or a subset thereof: a user's speech inputs to the digital assistant (e.g., if a user says “you got that wrong” or “you are pronouncing that wrong”), button presses (e.g., if a user selects a lock-screen or “home” button (or any other affordance) to cancel an action), movements of the device (e.g., shaking the device, setting the device down in a certain orientation, such as screen-down), termination of actions or suggested actions on the user device (e.g., cancelling a telephone call, email, text message, etc. after the digital assistant initiates or suggests it), initiation of an action shortly after a digital assistant fails to successfully infer an intent or adequately respond to a user, etc. In some implementations, the error detection module 339 monitors other types of interactions to detect errors as well.
In order to detect such errors, in some implementations, the error detection module 339 communicates with or otherwise receives information from various modules and components of the digital assistant system 300 and/or the user device 104, such as the I/O processing module 328 (and/or the I/O devices 316), the STT processing module 330, natural language processing module 332, the dialogue flow processing module 334, the task flow processing module 336, the service processing module 338, the phone module 260, the sensor processing module 258, the I/O subsystem 240, and/or any of the sensors or I/O devices associated therewith.
More details on the digital assistant can be found in the U.S. Utility application Ser. No. 12/987,982, entitled “Intelligent Automated Assistant”, filed Jan. 10, 2011, U.S. Utility Application No. 61/493,201, entitled “Generating and Processing Data Items That Represent Tasks to Perform”, filed Jun. 3, 2011, the entire disclosures of which are incorporated herein by reference.
In most scenarios, when the digital assistant receives a user input from a user, the digital assistant attempts to provide an appropriate response to the user input with as little delay as possible. For example, suppose the user requests certain information (e.g., current traffic information) by providing a speech input (e.g., “How does the traffic look right now?”). Right after the digital assistant receives and processes the speech input, the digital assistant optionally provides a speech output (e.g., “Looking up traffic information . . . ”) acknowledging receipt of the user request. After the digital assistant obtains the requested information in response to the user request, the digital assistant proceeds to provide the requested information to the user without further delay. For example, in response to the user's traffic information request, the digital assistant may provide a series of one or more discrete speech outputs separated by brief pauses (e.g., “There are 2 accidents on the road. <Pause> One accident is on 101 north bound near Whipple Avenue. <Pause> And a second accident is on 85 north near 280.”), immediately after the speech outputs are generated.
For the purpose of this specification, the initial acknowledgement of the user request and the series of one or more discrete speech outputs provided in response to the user request are all considered sub-responses of a complete response to the user request. In other words, the digital assistant initiates an information provision process for the user request upon receipt of the user request, and during the information provision process, the digital assistant prepares and provides each sub-response of the complete response to the user request without requiring further prompts from the user.
Sometimes, additional information or clarification (e.g., route information) is required before the requested information can be obtained. In such scenarios, the digital assistant outputs a question (e.g., “Where are you going?”) to the user asking for the additional information or clarification. In some implementations, the question provided by the digital assistant is considered a complete response to the user request because the digital assistant will not take further actions or provide any additional response to the user request until a new input is received from the user. In some implementations, once the user provides the additional information or clarification, the digital assistant initiates a new information provision process for a “new” user request established based on the original user request and the additional user input.
In some implementations, the digital assistant initiates a new information provision process upon receipt of each new user input, and each existing information provision process terminates either (1) when all of the sub-responses of a complete response to the user request have been provided to the user or (2) when the digital assistant provides a request for additional information or clarification to the user regarding a previous user request that started the existing information provision process.
In general, after a user request for information or performance of a task is received by the digital assistant, it is desirable that the digital assistant provides a response (e.g., either an output containing the requested information, an acknowledgement of a requested task, or an output to request a clarification) as promptly as possible. Real-time responsiveness of the digital assistant is one of the key factors in evaluating performance of the digital assistant. In such cases, a response is prepared as quickly as possible, and a default delivery time for the response is a time immediately after the response is prepared.
Sometimes, however, after an initial sub-response provided immediately after receipt of the user input, the digital assistant provides the remaining one or more sub-responses one at a time over an extended period of time. In some implementations, the information provision process for a user request is stretched out over an extended period of time that is longer than the sum of the time required to provide each sub-response individually. For example, in some implementations, short pauses (i.e., brief periods of silence) are inserted between an adjacent pair of sub-responses (e.g., a pair of consecutive speech outputs) when they are delivered to the user through an audio-output channel.
In some implementations, a sub-response is held in abeyance after it is prepared and is delivered only when a predetermined condition has been met. In some implementations, the predetermined condition is met when a predetermined trigger time has been reached according to a system clock and/or when a predetermined trigger event has occurred. For example, if the user says to the digital assistant “set me a timer for 5 minutes,” the digital assistant initiates an information provision process upon receipt of the user request. During the information provision process, the digital assistant provides a first sub-response (e.g., “OK, timer started.”) right away, and does not provide a second and final sub-response (e.g., “OK, five minutes are up”) until 5 minutes later. In such cases, the default delivery time for the first sub-response is a time immediately after the first sub-response is prepared, and the default delivery time for the second, final sub-response is a time immediately after the occurrence of the trigger event (e.g., the elapse of 5 minutes from the start of the timer). The information provision process is terminated when the digital assistant finishes providing the final sub-response to the user. In various implementations, the second sub-response is prepared any time (e.g., right after the first sub-response is prepared, or until shortly before the default delivery time for the second sub-response) before the default delivery time for the second sub-response.
As shown in
The natural language processor also determines an intent deduction confidence score 416 for each of the candidate text strings 406. The intent deduction confidence scores 416 represent a confidence of the natural language processor in the selection of that domain for that text string. For example, the text string “shoe ties for arco” may implicate a “shopping” domain because of the words “shoe” and “ties,” but the intent deduction confidence score is low (e.g., 5%) because the natural language processor cannot identify any particular task from the text string. (If, however, the text string included additional words like “where to buy” or “get prices for,” the intent deduction confidence score for that text string would be higher.) In some implementations, the intent deduction confidence scores are determined independently from each other.
In some implementations, the intent deduction confidence scores 416 are based, at least partially, on the amount and/or quality of word matches between a text string and a domain in the ontology (e.g., the absolute number or the percentage of words in the text string that are also associated with the domain). For example, if most of the words in a text string are associated with a single domain, the intent deduction confidence score for that domain would he high. As a specific example, most of the words and/or phrases in the text string “show times for the movie Argo” would be found in a movie domain (e.g., “show times,” “movie,” “Argo”), so the confidence score for this domain would be high.
In some implementations, the intent deduction confidence scores 416 are based, at least partially, on whether the text string includes one or more named entities associated with the domain (e.g., business names, movie titles, restaurant names, contact names, etc.), as discussed below.
In some implementations, the particular domain determined for a text string does not affect the intent deduction confidence score (i.e., the intent deduction confidence scores do not reflect any preference or ranking for particular domains). For example, the fact that the domain for “shoe ties for arco” relates to a shopping domain does not affect the intent deduction confidence score. Rather, the (low) score is based on the fact that there are only two words that match the shopping domain, and that no particular task within the shopping domain can be determined from the text string.
Returning to
Accordingly, the natural language processor can select the domain and/or task determined from the second candidate text string, even though it was ranked lower by the STT processor, because it has the highest intent deduction score 416. In some implementations, the natural language processor selects the domain and/or task determined from the candidate text string with the highest intent deduction score.
In some implementations, the natural language processor selects the domain and/or task based on a combination of the intent deduction score 416 and the recognition score 408. For example, in some implementations, the natural language processor produces an average score 418 representing an arithmetic mean value of a respective recognition score and a respective intent deduction score 416. In some implementations, the scores are combined using different mathematical operations and/or algorithms (e.g., a weighted average, a sum, etc.).
The scales and/or value ranges used to illustrate recognition and intent deduction scores in
The one or more text strings 504 are provided to a natural language processor for initial natural language processing. (In some implementations, the natural language processor is the natural language processing module 332.) As shown in
Accordingly, as shown in
In some implementations, for the supplemental natural language processing, the natural language processor limits its word-matching to the domain 514 identified by the initial natural language processing (and/or word lists that are specific to that domain). For example, natural language processor will search for words within the movie domain and/or words lists associated with the movie domain that match (or are substantially similar to) words in the text string 504, rather than re-searching multiple domains of the ontology. Because the search space is limited to a single domain, the natural language processor can apply the relaxed criteria without returning too many potentially incorrect and/or irrelevant results (as may occur if the relaxed criteria were applied to a search of the entire ontology).
In some implementations, the natural language processor only attempts to match a portion of the text string 504. For example, the natural language processor may determine that the words “our go” are in a position in the text string that would typically include a movie title, and process only those words in a supplemental natural language processing phase.
As shown in
As noted above, in some implementations, the results 504 of the STT processing include only one text string, such as a text string corresponding to the best-guess transcription by an STT processor. However, in some implementations, the results 504 include multiple text strings. In some implementations, the initial natural language processing includes one or more of the techniques described above with respect to
In some implementations, however, the natural language processor selects more than one candidate text string for which to perform supplemental natural language processing. In some implementations, all of the candidate text strings are selected. In some implementations, a subset of the candidate text strings is selected. For example, in some implementations, the natural language processor selects: the n-best candidate text strings (e.g., as judged by the intent deduction confidence score or average score); the n-best candidate text strings having a common domain (e.g., the n-best candidate text strings for which a “movie” domain was determined); or all (or some) of the text strings that correspond to a domain having the most candidate text strings (e.g., if the “movie” domain is the most commonly determined domain among the candidate text strings, all of the text strings for which the “movie” domain was determined are selected).
As shown in
As described above, the supplemental natural language processing applies relaxed string matching criteria (e.g., approximate string matching instead of exact string matching). Applying supplemental natural language processing to multiple candidate text strings increases the likelihood that a satisfactory domain will be identified, especially where none of the candidate text strings accurately reflect the speech input. For example, the text strings “show times for our go” and “show times for are go” each include a different incorrect transcription of the movie title “Argo.” The supplemental natural language processing may be able to determine a match to the correct movie title from one of these but not the other. For this specific example, the words “are go” may be a closer phonetic and approximate string match to the movie title “Argo” than “our go.” Accordingly, applying supplemental natural language processing to multiple text strings increases the chances that a domain and/or an actionable intent will be determined.
In some implementations, if the natural language processor cannot determine a domain and/or an actionable intent even after the techniques in
The digital assistant provides a text string corresponding to a speech input, wherein the text string comprises a first portion and a second portion (603). In some implementations, the digital assistant generates the text string with a speech-to-text processor (e.g., the STT processing module 330) (602). In some implementations, the digital assistant receives the speech input (601) (e.g., via the microphone 230 of the user device 104).
In some implementations, the first portion of the text string precedes the second portion of the text string, while in other implementations, the second portion precedes the first. In some implementations, the first and the second portions of the text string comprise a plurality of words.
The digital assistant determines a domain of the text string using natural language processing by applying a first word-matching process to at least the first portion of the text string (604). In some implementations, the first word-matching process requires exact word matches (e.g., all characters must match exactly). in some implementations, determining the domain of the text string includes processing the text string using a natural language processor that includes an ontology, where the natural language processor (e.g., the natural language processing module 332) determines what nodes in the ontology are implicated by the words in the text string, as described above with reference to
The digital assistant determines whether the second portion of the text string matches at least one word of a set of words associated with the domain by applying a second word-matching process to the second portion of the text string (606). In some implementations, word-matching criteria applied by the second word-matching process are more relaxed than word-matching criteria applied by the first word-matching process (608). For example, in some implementations, the first word-matching process requires exact matches between words (as described above), and the second word-matching process does not require exact matches between words.
In some implementations, the second word-matching process applies approximate string matching techniques (610). Continuing the example from
In some implementations, the second word-matching process comprises determining an edit distance between a word of the second portion of the text string and a word of the set of words associated with the domain (612). In some implementations, the edit distance is a Levenshtein distance.
In some implementations, the second word-matching process applies phonetic matching techniques (614). Specifically, the natural language processing module 332 can determine whether words in a text string sound like any of the words associated with an ontology, rather than whether words in the text string are spelled the same as (or similar to) the words associated with the ontology. In some implementations, the natural language processing module 332 determines a set of phonemes for one or more words of the text string, and attempts to match the phonemes (e.g., using exact or approximate matching techniques) to words associated with the ontology. Accordingly, continuing the example from
Upon determining that the second portion of the text string matches at least one word of the set of words, the digital assistant determines a user intent from the text string based at least in part on the domain and the at least one word of the set of words (615). In some implementations, determining the user intent includes determining an actionable intent, i.e., a task that the digital assistant is capable of performing. Examples of tasks that the digital assistant can perform are described above. For example, in some implementations, the digital assistant can make (and/or facilitate the making of) a restaurant reservation, set a reminder, provide driving directions to a user, etc. Continuing the example from
In some implementations, the digital assistant performs one or more actions to satisfy the user intent (616). Continuing once again the example from
The digital assistant provides a plurality of candidate text strings for a speech input, wherein the candidate text strings are generated by a speech recognition process (703). In some implementations, the speech recognition process is performed by the STT processing module 330. In some implementations, the digital assistant generates the candidate text strings with a speech-to-text processor (e.g., the STT processing module 330) (702). In some implementations, the digital assistant receives the speech input (701) (e.g., via the microphone 230 of the user device 104).
In some implementations, the plurality of candidate text strings are associated with a plurality of speech recognition confidence scores (704). Speech recognition confidence scores represent a confidence that a candidate text string is a correct transcription of the speech input (e.g., as determined by the STT processing module 330). In some implementations, the speech recognition confidence score is based, at least partially, on a statistical model associated with one or both of an acoustic model and a language model applied by the STT processing module 330.
In some implementations, the plurality of candidate text strings correspond to the n-best text strings generated by the speech recognition process, as determined by the speech recognition confidence scores of the text strings generated by the speech recognition process. In some implementations, the plurality of candidate text strings correspond to the 5 best, 10 best, or any other appropriate number of text strings.
In some implementations, the plurality of candidate text strings are text strings generated by the speech recognition process that satisfy a predetermined speech recognition confidence threshold. For example, in some implementations, the plurality of candidate text strings includes any candidate text strings that have a speech recognition confidence score greater than 50%, 75%, 90%, or any other appropriate threshold. The speech recognition confidence scores are represented here as percentages, but may be represented by values of any appropriate metric, scale, and/or value range.
The digital assistant selects at least a subset of the plurality of candidate text strings, the subset including at least two candidate text strings (705). In some implementations, the digital assistant selects the top 2, 3, 4, or 5 (or any appropriate number) of the plurality of candidate text strings.
The digital assistant determines a plurality of user intents from the selected subset of the plurality of text strings (706). For example, the digital assistant determines a respective user intent for each respective one of the text strings selected at step (705). In some implementations, determining the user intent includes determining an actionable intent, i.e., a task that the digital assistant is capable of performing. Examples of actions that the digital assistant can perform are described above. For example, in some implementations, the digital assistant can make (and/or facilitate the making of) a restaurant reservation, set a reminder, provide driving directions to a user, etc.
In some implementations, the plurality of user intents are associated with a plurality of intent deduction confidence scores (707). Intent deduction confidence scores are discussed above in reference to
The digital assistant selects a user intent from the plurality of user intents (708). In some implementations, the digital assistant selects the user intent based on the plurality of intent deduction confidence scores. For example, in some implementations, the digital assistant selects the user intent having the highest intent deduction confidence score as the selected user intent (710).
In some implementations, the digital assistant selects the user intent based on the speech recognition confidence scores and the intent deduction confidence scores (712).
In some implementations, the digital assistant determines a plurality of composite confidence scores for the plurality of user intents (714).
In some implementations, a composite confidence score is any of the following: a combination of a respective speech recognition confidence score and a respective intent deduction confidence score; a sum of a respective speech recognition confidence score and a respective intent deduction confidence score; an average of a respective speech recognition confidence score and a respective intent deduction confidence score; or a weighted average of a respective speech recognition confidence score and a respective intent deduction confidence score.
In some implementations, the user intent selected at step (708) is the user intent with the highest composite confidence score (715).
In some implementations, the digital assistant performs one or more actions to satisfy the user intent (716). Examples of actions that the digital assistant can perform to satisfy a user intent are described above.
The digital assistant provides a plurality of text strings corresponding to a speech input, wherein the plurality of text strings is associated with a plurality of speech recognition confidence scores and a plurality of user intents, and wherein the plurality of user intents is associated with a plurality of intent deduction confidence scores (804). In some implementations, the digital assistant generates the candidate text strings with a speech-to-text processor (e.g., the STT processing module 330) (802). In some implementations, the digital assistant receives the speech input (801) (e.g., via the microphone 230 of the user device 104).
In some implementations, the text strings and the plurality of speech recognition confidence scores are generated by the STT processing module 330. As described above, speech recognition confidence scores represent a confidence that a candidate text string is a correct transcription of the speech input (e.g., as determined by the STT processing module 330). In some implementations, the speech recognition confidence score is based, at least partially, on a statistical model associated with one or both of an acoustic model and a language model applied by the STT processing module 330.
The digital assistant selects one of the plurality of user intents based on one or both of the speech recognition confidence scores and the intent deduction confidence scores (804). In some implementations, selecting one of the plurality of user intents includes selecting the user intent with the highest composite confidence score (806).
In some implementations, the digital assistant determines a plurality of composite confidence scores for the plurality of user intents (808). As described above, in some implementations, a composite confidence score is any of the following: a combination of a respective speech recognition confidence score and a respective intent deduction confidence score; a sum of a respective speech recognition confidence score and a respective intent deduction confidence score; an average of a respective speech recognition confidence score and a respective intent deduction confidence score; or a weighted average of a respective speech recognition confidence score and a respective intent deduction confidence score.
In some implementations, the digital assistant performs one or more actions to satisfy the user intent (810). Examples of actions that the digital assistant can perform to satisfy a user intent are described above.
The operations described above with reference to
It should be understood that the particular order in which the operations have been described above is merely exemplary and is not intended to indicate that the described order is the only order in which the operations could be performed. One of ordinary skill in the art would recognize various ways to reorder the operations described herein.
The foregoing description, for purpose of explanation, has been described with reference to specific implementations. However, the illustrative discussions above are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The implementations were chosen and described in order to best explain the principles of the invention and its practical applications, to thereby enable others skilled in the art to best utilize the invention and various implementations with various modifications as are suited to the particular use contemplated.
This application is a continuation of U.S. Ser. No. 16/204,467, filed on Nov. 29, 2018, entitled SYSTEM AND METHOD FOR INFERRING USER INTENT FROM SPEECH INPUTS, which continuation of U.S. Ser. No. 14/298,725, filed on Jun. 6, 2014, entitled SYSTEM AND METHOD FOR INFERRING USER INTENT FROM SPEECH INPUTS, which claims priority from U.S. Provisional Ser. No. 61/832,896, filed on Jun. 9, 2013, entitled SYSTEM AND METHOD FOR INFERRING USER INTENT FROM SPEECH INPUTS, which are hereby incorporated by reference in their entirety for all purposes.
| Number | Name | Date | Kind |
|---|---|---|---|
| 6931384 | Horvitz | Aug 2005 | B1 |
| 7643990 | Bellegarda | Jan 2010 | B1 |
| 7647225 | Bennett et al. | Jan 2010 | B2 |
| 7649454 | Singh et al. | Jan 2010 | B2 |
| 7649877 | Vieri et al. | Jan 2010 | B2 |
| 7653883 | Hotelling et al. | Jan 2010 | B2 |
| 7656393 | King et al. | Feb 2010 | B2 |
| 7657424 | Bennett | Feb 2010 | B2 |
| 7657430 | Ogawa | Feb 2010 | B2 |
| 7657828 | Lucas et al. | Feb 2010 | B2 |
| 7657844 | Gibson et al. | Feb 2010 | B2 |
| 7657849 | Chaudhri et al. | Feb 2010 | B2 |
| 7660715 | Thambiratnam | Feb 2010 | B1 |
| 7663607 | Hotelling et al. | Feb 2010 | B2 |
| 7664558 | Lindahl et al. | Feb 2010 | B2 |
| 7664638 | Cooper et al. | Feb 2010 | B2 |
| 7668710 | Doyle | Feb 2010 | B2 |
| 7669134 | Christie et al. | Feb 2010 | B1 |
| 7672841 | Bennett | Mar 2010 | B2 |
| 7672952 | Isaacson et al. | Mar 2010 | B2 |
| 7673238 | Girish et al. | Mar 2010 | B2 |
| 7673251 | Wibisono | Mar 2010 | B1 |
| 7673340 | Cohen et al. | Mar 2010 | B1 |
| 7676026 | Baxter, Jr. | Mar 2010 | B1 |
| 7676365 | Hwang et al. | Mar 2010 | B2 |
| 7676463 | Thompson et al. | Mar 2010 | B2 |
| 7679534 | Kay et al. | Mar 2010 | B2 |
| 7680649 | Park | Mar 2010 | B2 |
| 7681126 | Roose | Mar 2010 | B2 |
| 7683886 | Willey | Mar 2010 | B2 |
| 7683893 | Kim | Mar 2010 | B2 |
| 7684985 | Dominach et al. | Mar 2010 | B2 |
| 7684990 | Caskey et al. | Mar 2010 | B2 |
| 7684991 | Stohr et al. | Mar 2010 | B2 |
| 7689245 | Cox et al. | Mar 2010 | B2 |
| 7689408 | Chen et al. | Mar 2010 | B2 |
| 7689409 | Heinecke | Mar 2010 | B2 |
| 7689412 | Wu et al. | Mar 2010 | B2 |
| 7689421 | Li et al. | Mar 2010 | B2 |
| 7689916 | Goel et al. | Mar 2010 | B1 |
| 7693715 | Hwang et al. | Apr 2010 | B2 |
| 7693717 | Kahn et al. | Apr 2010 | B2 |
| 7693719 | Chu et al. | Apr 2010 | B2 |
| 7693720 | Kennewick et al. | Apr 2010 | B2 |
| 7698131 | Bennett | Apr 2010 | B2 |
| 7698136 | Nguyen et al. | Apr 2010 | B1 |
| 7702500 | Blaedow | Apr 2010 | B2 |
| 7702508 | Bennett | Apr 2010 | B2 |
| 7703091 | Martin et al. | Apr 2010 | B1 |
| 7706510 | Ng | Apr 2010 | B2 |
| 7707026 | Liu | Apr 2010 | B2 |
| 7707027 | Balchandran et al. | Apr 2010 | B2 |
| 7707032 | Wang et al. | Apr 2010 | B2 |
| 7707221 | Dunning et al. | Apr 2010 | B1 |
| 7707226 | Tonse | Apr 2010 | B1 |
| 7707267 | Lisitsa et al. | Apr 2010 | B2 |
| 7710262 | Ruha | May 2010 | B2 |
| 7711129 | Lindahl et al. | May 2010 | B2 |
| 7711550 | Feinberg et al. | May 2010 | B1 |
| 7711565 | Gazdzinski | May 2010 | B1 |
| 7711672 | Au | May 2010 | B2 |
| 7712053 | Bradford et al. | May 2010 | B2 |
| 7716056 | Weng et al. | May 2010 | B2 |
| 7716077 | Mikurak | May 2010 | B1 |
| 7716216 | Harik et al. | May 2010 | B1 |
| 7720674 | Kaiser et al. | May 2010 | B2 |
| 7720683 | Vermeulen et al. | May 2010 | B1 |
| 7721226 | Barabe et al. | May 2010 | B2 |
| 7721301 | Wong et al. | May 2010 | B2 |
| 7724242 | Hillis et al. | May 2010 | B2 |
| 7724696 | Parekh | May 2010 | B1 |
| 7725307 | Bennett | May 2010 | B2 |
| 7725318 | Gavalda et al. | May 2010 | B2 |
| 7725320 | Bennett | May 2010 | B2 |
| 7725321 | Bennett | May 2010 | B2 |
| 7725419 | Lee et al. | May 2010 | B2 |
| 7725838 | Williams | May 2010 | B2 |
| 7729904 | Bennett | Jun 2010 | B2 |
| 7729916 | Coffman et al. | Jun 2010 | B2 |
| 7734461 | Kwak et al. | Jun 2010 | B2 |
| 7735012 | Naik | Jun 2010 | B2 |
| 7739588 | Reynar et al. | Jun 2010 | B2 |
| 7742953 | King et al. | Jun 2010 | B2 |
| 7743188 | Haitani et al. | Jun 2010 | B2 |
| 7747616 | Yamada et al. | Jun 2010 | B2 |
| 7752152 | Paek et al. | Jul 2010 | B2 |
| 7756707 | Garner et al. | Jul 2010 | B2 |
| 7756708 | Cohen et al. | Jul 2010 | B2 |
| 7756868 | Lee | Jul 2010 | B2 |
| 7756871 | Yacoub et al. | Jul 2010 | B2 |
| 7757173 | Beaman | Jul 2010 | B2 |
| 7757176 | Vakil et al. | Jul 2010 | B2 |
| 7757182 | Elliott et al. | Jul 2010 | B2 |
| 7761296 | Bakis et al. | Jul 2010 | B1 |
| 7763842 | Hsu et al. | Jul 2010 | B2 |
| 7770104 | Scopes | Aug 2010 | B2 |
| 7774202 | Spengler et al. | Aug 2010 | B2 |
| 7774204 | Mozer et al. | Aug 2010 | B2 |
| 7774388 | Runchey | Aug 2010 | B1 |
| 7774753 | Reilly et al. | Aug 2010 | B1 |
| 7777717 | Fux et al. | Aug 2010 | B2 |
| 7778432 | Larsen | Aug 2010 | B2 |
| 7778595 | White et al. | Aug 2010 | B2 |
| 7778632 | Kurlander et al. | Aug 2010 | B2 |
| 7778830 | Davis et al. | Aug 2010 | B2 |
| 7779069 | Frid-Nielsen et al. | Aug 2010 | B2 |
| 7779353 | Grigoriu et al. | Aug 2010 | B2 |
| 7779356 | Griesmer | Aug 2010 | B2 |
| 7779357 | Naik | Aug 2010 | B2 |
| 7783283 | Kuusinen et al. | Aug 2010 | B2 |
| 7783486 | Rosser et al. | Aug 2010 | B2 |
| 7788590 | Taboada et al. | Aug 2010 | B2 |
| 7788663 | Illowsky et al. | Aug 2010 | B2 |
| 7796980 | Mckinney et al. | Sep 2010 | B1 |
| 7797265 | Brinker et al. | Sep 2010 | B2 |
| 7797269 | Rieman et al. | Sep 2010 | B2 |
| 7797331 | Theimer et al. | Sep 2010 | B2 |
| 7797338 | Feng et al. | Sep 2010 | B2 |
| 7797629 | Fux et al. | Sep 2010 | B2 |
| 7801721 | Rosart et al. | Sep 2010 | B2 |
| 7801728 | Ben-david et al. | Sep 2010 | B2 |
| 7801729 | Mozer | Sep 2010 | B2 |
| 7805299 | Coifman | Sep 2010 | B2 |
| 7809550 | Barrows | Oct 2010 | B1 |
| 7809565 | Coifman | Oct 2010 | B2 |
| 7809569 | Attwater et al. | Oct 2010 | B2 |
| 7809570 | Kennewick et al. | Oct 2010 | B2 |
| 7809610 | Cao | Oct 2010 | B2 |
| 7809744 | Nevidomski et al. | Oct 2010 | B2 |
| 7813729 | Lee et al. | Oct 2010 | B2 |
| 7818165 | Carlgren et al. | Oct 2010 | B2 |
| 7818176 | Freeman et al. | Oct 2010 | B2 |
| 7818215 | King et al. | Oct 2010 | B2 |
| 7818291 | Ferguson et al. | Oct 2010 | B2 |
| 7818672 | Mccormack et al. | Oct 2010 | B2 |
| 7822608 | Cross, Jr. et al. | Oct 2010 | B2 |
| 7823123 | Sabbouh | Oct 2010 | B2 |
| 7826945 | Zhang et al. | Nov 2010 | B2 |
| 7827047 | Anderson et al. | Nov 2010 | B2 |
| 7831246 | Smith et al. | Nov 2010 | B1 |
| 7831423 | Schubert | Nov 2010 | B2 |
| 7831426 | Bennett | Nov 2010 | B2 |
| 7831432 | Bodin et al. | Nov 2010 | B2 |
| 7835504 | Donald et al. | Nov 2010 | B1 |
| 7836437 | Kacmarcik | Nov 2010 | B2 |
| 7840348 | Kim et al. | Nov 2010 | B2 |
| 7840400 | Lavi et al. | Nov 2010 | B2 |
| 7840447 | Kleinrock et al. | Nov 2010 | B2 |
| 7840581 | Ross et al. | Nov 2010 | B2 |
| 7840912 | Elias et al. | Nov 2010 | B2 |
| 7844394 | Kim | Nov 2010 | B2 |
| 7848924 | Nurminen et al. | Dec 2010 | B2 |
| 7848926 | Goto et al. | Dec 2010 | B2 |
| 7853444 | Wang et al. | Dec 2010 | B2 |
| 7853445 | Bachenko et al. | Dec 2010 | B2 |
| 7853574 | Kraenzel et al. | Dec 2010 | B2 |
| 7853577 | Sundaresan et al. | Dec 2010 | B2 |
| 7853664 | Wang et al. | Dec 2010 | B1 |
| 7853900 | Nguyen et al. | Dec 2010 | B2 |
| 7861164 | Qin | Dec 2010 | B2 |
| 7865817 | Ryan et al. | Jan 2011 | B2 |
| 7869998 | Fabbrizio et al. | Jan 2011 | B1 |
| 7869999 | Amato et al. | Jan 2011 | B2 |
| 7870118 | Jiang et al. | Jan 2011 | B2 |
| 7870133 | Krishnamoorthy et al. | Jan 2011 | B2 |
| 7873149 | Schultz et al. | Jan 2011 | B2 |
| 7873519 | Bennett | Jan 2011 | B2 |
| 7873523 | Potter et al. | Jan 2011 | B2 |
| 7873654 | Bernard | Jan 2011 | B2 |
| 7877705 | Chambers et al. | Jan 2011 | B2 |
| 7880730 | Robinson et al. | Feb 2011 | B2 |
| 7881283 | Cormier et al. | Feb 2011 | B2 |
| 7881936 | Longe et al. | Feb 2011 | B2 |
| 7885390 | Chaudhuri et al. | Feb 2011 | B2 |
| 7885844 | Cohen et al. | Feb 2011 | B1 |
| 7886233 | Rainisto et al. | Feb 2011 | B2 |
| 7889101 | Yokota | Feb 2011 | B2 |
| 7889184 | Blumenberg et al. | Feb 2011 | B2 |
| 7889185 | Blumenberg et al. | Feb 2011 | B2 |
| 7890329 | Wu et al. | Feb 2011 | B2 |
| 7890330 | Ozkaragoz et al. | Feb 2011 | B2 |
| 7890652 | Bull et al. | Feb 2011 | B2 |
| 7895039 | Braho et al. | Feb 2011 | B2 |
| 7895531 | Radtke et al. | Feb 2011 | B2 |
| 7899666 | Varone | Mar 2011 | B2 |
| 7904297 | Mirkovic et al. | Mar 2011 | B2 |
| 7908287 | Katragadda | Mar 2011 | B1 |
| 7912289 | Kansal et al. | Mar 2011 | B2 |
| 7912699 | Saraclar et al. | Mar 2011 | B1 |
| 7912702 | Bennett | Mar 2011 | B2 |
| 7912720 | Hakkani-tur et al. | Mar 2011 | B1 |
| 7912828 | Bonnet et al. | Mar 2011 | B2 |
| 7913185 | Benson et al. | Mar 2011 | B1 |
| 7916979 | Simmons | Mar 2011 | B2 |
| 7917364 | Yacoub | Mar 2011 | B2 |
| 7917367 | Di Cristo et al. | Mar 2011 | B2 |
| 7917497 | Harrison et al. | Mar 2011 | B2 |
| 7920678 | Cooper et al. | Apr 2011 | B2 |
| 7920682 | Byrne et al. | Apr 2011 | B2 |
| 7920857 | Lau et al. | Apr 2011 | B2 |
| 7925525 | Chin | Apr 2011 | B2 |
| 7925610 | Elbaz et al. | Apr 2011 | B2 |
| 7929805 | Wang et al. | Apr 2011 | B2 |
| 7930168 | Weng et al. | Apr 2011 | B2 |
| 7930183 | Odell et al. | Apr 2011 | B2 |
| 7930197 | Ozzie et al. | Apr 2011 | B2 |
| 7933399 | Knott et al. | Apr 2011 | B2 |
| 7936339 | Marggraff et al. | May 2011 | B2 |
| 7936861 | Knott et al. | May 2011 | B2 |
| 7936863 | John et al. | May 2011 | B2 |
| 7937075 | Zellner | May 2011 | B2 |
| 7941009 | Li et al. | May 2011 | B2 |
| 7945294 | Zhang et al. | May 2011 | B2 |
| 7945470 | Cohen et al. | May 2011 | B1 |
| 7949529 | Weider et al. | May 2011 | B2 |
| 7949534 | Davis et al. | May 2011 | B2 |
| 7949752 | White et al. | May 2011 | B2 |
| 7953679 | Chidlovskii et al. | May 2011 | B2 |
| 7957975 | Burns et al. | Jun 2011 | B2 |
| 7958136 | Curtis et al. | Jun 2011 | B1 |
| 7962179 | Huang | Jun 2011 | B2 |
| 7974835 | Balchandran et al. | Jul 2011 | B2 |
| 7974844 | Sumita | Jul 2011 | B2 |
| 7974972 | Cao | Jul 2011 | B2 |
| 7975216 | Woolf et al. | Jul 2011 | B2 |
| 7983478 | Liu et al. | Jul 2011 | B2 |
| 7983915 | Knight et al. | Jul 2011 | B2 |
| 7983917 | Kennewick et al. | Jul 2011 | B2 |
| 7983919 | Conkie | Jul 2011 | B2 |
| 7983997 | Allen et al. | Jul 2011 | B2 |
| 7984062 | Dunning et al. | Jul 2011 | B2 |
| 7986431 | Emori et al. | Jul 2011 | B2 |
| 7987151 | Schott et al. | Jul 2011 | B2 |
| 7987176 | Latzina et al. | Jul 2011 | B2 |
| 7987244 | Lewis et al. | Jul 2011 | B1 |
| 7991614 | Washio et al. | Aug 2011 | B2 |
| 7992085 | Wang-aryattanwanich et al. | Aug 2011 | B2 |
| 7996228 | Miller et al. | Aug 2011 | B2 |
| 7996589 | Schultz et al. | Aug 2011 | B2 |
| 7996769 | Fux et al. | Aug 2011 | B2 |
| 7996792 | Anzures et al. | Aug 2011 | B2 |
| 7999669 | Singh et al. | Aug 2011 | B2 |
| 8000453 | Cooper et al. | Aug 2011 | B2 |
| 8001125 | Magdalin et al. | Aug 2011 | B1 |
| 8005664 | Hanumanthappa | Aug 2011 | B2 |
| 8005679 | Jordan et al. | Aug 2011 | B2 |
| 8006180 | Tunning et al. | Aug 2011 | B2 |
| 8010367 | Muschett et al. | Aug 2011 | B2 |
| 8010614 | Musat et al. | Aug 2011 | B1 |
| 8014308 | Gates, III et al. | Sep 2011 | B2 |
| 8015006 | Kennewick et al. | Sep 2011 | B2 |
| 8015011 | Nagano et al. | Sep 2011 | B2 |
| 8015144 | Zheng et al. | Sep 2011 | B2 |
| 8018431 | Zehr et al. | Sep 2011 | B1 |
| 8019271 | Izdepski | Sep 2011 | B1 |
| 8019604 | Ma | Sep 2011 | B2 |
| 8020104 | Robarts et al. | Sep 2011 | B2 |
| 8024195 | Mozer et al. | Sep 2011 | B2 |
| 8024415 | Horvitz et al. | Sep 2011 | B2 |
| 8027836 | Baker et al. | Sep 2011 | B2 |
| 8031943 | Chen et al. | Oct 2011 | B2 |
| 8032383 | Bhardwaj et al. | Oct 2011 | B1 |
| 8032409 | Mikurak | Oct 2011 | B1 |
| 8036901 | Mozer | Oct 2011 | B2 |
| 8037034 | Plachta et al. | Oct 2011 | B2 |
| 8041557 | Liu | Oct 2011 | B2 |
| 8041570 | Mirkovic et al. | Oct 2011 | B2 |
| 8041611 | Kleinrock et al. | Oct 2011 | B2 |
| 8042053 | Darwish et al. | Oct 2011 | B2 |
| 8046231 | Hirota et al. | Oct 2011 | B2 |
| 8046363 | Cha et al. | Oct 2011 | B2 |
| 8046374 | Bromwich | Oct 2011 | B1 |
| 8050500 | Batty et al. | Nov 2011 | B1 |
| 8050919 | Das | Nov 2011 | B2 |
| 8054180 | Scofield et al. | Nov 2011 | B1 |
| 8055296 | Persson et al. | Nov 2011 | B1 |
| 8055502 | Clark et al. | Nov 2011 | B2 |
| 8055708 | Chitsaz et al. | Nov 2011 | B2 |
| 8056070 | Goller et al. | Nov 2011 | B2 |
| 8060824 | Brownrigg, Jr. et al. | Nov 2011 | B2 |
| 8064753 | Freeman | Nov 2011 | B2 |
| 8065143 | Yanagihara | Nov 2011 | B2 |
| 8065155 | Gazdzinski | Nov 2011 | B1 |
| 8065156 | Gazdzinski | Nov 2011 | B2 |
| 8068604 | Leeds et al. | Nov 2011 | B2 |
| 8069046 | Kennewick et al. | Nov 2011 | B2 |
| 8069422 | Sheshagiri et al. | Nov 2011 | B2 |
| 8073681 | Baldwin et al. | Dec 2011 | B2 |
| 8073695 | Hendricks et al. | Dec 2011 | B1 |
| 8077153 | Benko et al. | Dec 2011 | B2 |
| 8078473 | Gazdzinski | Dec 2011 | B1 |
| 8078978 | Perry et al. | Dec 2011 | B2 |
| 8082153 | Coffman et al. | Dec 2011 | B2 |
| 8082498 | Salamon et al. | Dec 2011 | B2 |
| 8090571 | Elshishiny et al. | Jan 2012 | B2 |
| 8095364 | Longe et al. | Jan 2012 | B2 |
| 8099289 | Mozer et al. | Jan 2012 | B2 |
| 8099395 | Pabla et al. | Jan 2012 | B2 |
| 8099418 | Inoue et al. | Jan 2012 | B2 |
| 8103510 | Sato | Jan 2012 | B2 |
| 8103947 | Lunt et al. | Jan 2012 | B2 |
| 8107401 | John et al. | Jan 2012 | B2 |
| 8112275 | Kennewick et al. | Feb 2012 | B2 |
| 8112280 | Lu | Feb 2012 | B2 |
| 8117026 | Lee et al. | Feb 2012 | B2 |
| 8117037 | Gazdzinski | Feb 2012 | B2 |
| 8117542 | Radtke et al. | Feb 2012 | B2 |
| 8121413 | Hwang et al. | Feb 2012 | B2 |
| 8121837 | Agapi et al. | Feb 2012 | B2 |
| 8122094 | Kotab | Feb 2012 | B1 |
| 8122353 | Bouta | Feb 2012 | B2 |
| 8130929 | Wilkes et al. | Mar 2012 | B2 |
| 8131557 | Davis et al. | Mar 2012 | B2 |
| 8135115 | Hogg, Jr. et al. | Mar 2012 | B1 |
| 8138912 | Singh et al. | Mar 2012 | B2 |
| 8140330 | Cevik et al. | Mar 2012 | B2 |
| 8140335 | Kennewick et al. | Mar 2012 | B2 |
| 8140368 | Eggenberger et al. | Mar 2012 | B2 |
| 8140567 | Padovitz et al. | Mar 2012 | B2 |
| 8145489 | Freeman et al. | Mar 2012 | B2 |
| 8150694 | Kennewick et al. | Apr 2012 | B2 |
| 8150700 | Shin et al. | Apr 2012 | B2 |
| 8155956 | Cho et al. | Apr 2012 | B2 |
| 8156005 | Vieri | Apr 2012 | B2 |
| 8160877 | Nucci et al. | Apr 2012 | B1 |
| 8160883 | Lecoeuche | Apr 2012 | B2 |
| 8165321 | Paquier et al. | Apr 2012 | B2 |
| 8165886 | Gagnon et al. | Apr 2012 | B1 |
| 8166019 | Lee et al. | Apr 2012 | B1 |
| 8166032 | Sommer et al. | Apr 2012 | B2 |
| 8170790 | Lee et al. | May 2012 | B2 |
| 8170966 | Musat et al. | May 2012 | B1 |
| 8171137 | Parks et al. | May 2012 | B1 |
| 8175872 | Kristjansson et al. | May 2012 | B2 |
| 8175876 | Bou-ghazale et al. | May 2012 | B2 |
| 8179370 | Yamasani et al. | May 2012 | B1 |
| 8188856 | Singh et al. | May 2012 | B2 |
| 8190359 | Bourne | May 2012 | B2 |
| 8190596 | Nambiar et al. | May 2012 | B2 |
| 8194827 | Jaiswal et al. | Jun 2012 | B2 |
| 8195460 | Degani et al. | Jun 2012 | B2 |
| 8195467 | Mozer et al. | Jun 2012 | B2 |
| 8195468 | Weider et al. | Jun 2012 | B2 |
| 8200489 | Baggenstoss | Jun 2012 | B1 |
| 8200495 | Braho et al. | Jun 2012 | B2 |
| 8201109 | Van Os et al. | Jun 2012 | B2 |
| 8204238 | Mozer | Jun 2012 | B2 |
| 8205788 | Gazdzinski et al. | Jun 2012 | B1 |
| 8209183 | Patel et al. | Jun 2012 | B1 |
| 8213911 | Williams et al. | Jul 2012 | B2 |
| 8219115 | Nelissen | Jul 2012 | B1 |
| 8219406 | Yu et al. | Jul 2012 | B2 |
| 8219407 | Roy et al. | Jul 2012 | B1 |
| 8219555 | Mianji | Jul 2012 | B1 |
| 8219608 | Alsafadi et al. | Jul 2012 | B2 |
| 8224649 | Chaudhari et al. | Jul 2012 | B2 |
| 8224757 | Bohle | Jul 2012 | B2 |
| 8228299 | Maloney et al. | Jul 2012 | B1 |
| 8233919 | Haag et al. | Jul 2012 | B2 |
| 8234111 | Lloyd et al. | Jul 2012 | B2 |
| 8239206 | Lebeau et al. | Aug 2012 | B1 |
| 8239207 | Seligman et al. | Aug 2012 | B2 |
| 8244545 | Paek et al. | Aug 2012 | B2 |
| 8244712 | Serlet et al. | Aug 2012 | B2 |
| 8250071 | Killalea et al. | Aug 2012 | B1 |
| 8254829 | Kindred et al. | Aug 2012 | B1 |
| 8255216 | White | Aug 2012 | B2 |
| 8255217 | Stent et al. | Aug 2012 | B2 |
| 8260117 | Xu et al. | Sep 2012 | B1 |
| 8260247 | Lazaridis et al. | Sep 2012 | B2 |
| 8260617 | Dhanakshirur et al. | Sep 2012 | B2 |
| 8260619 | Bansal et al. | Sep 2012 | B1 |
| 8270933 | Riemer et al. | Sep 2012 | B2 |
| 8271287 | Kermani | Sep 2012 | B1 |
| 8275621 | Alewine et al. | Sep 2012 | B2 |
| 8275736 | Guo et al. | Sep 2012 | B2 |
| 8279171 | Hirai et al. | Oct 2012 | B2 |
| 8280438 | Barbera | Oct 2012 | B2 |
| 8285546 | Reich | Oct 2012 | B2 |
| 8285551 | Gazdzinski | Oct 2012 | B2 |
| 8285553 | Gazdzinski | Oct 2012 | B2 |
| 8285737 | Lynn et al. | Oct 2012 | B1 |
| 8290777 | Nguyen et al. | Oct 2012 | B1 |
| 8290778 | Gazdzinski | Oct 2012 | B2 |
| 8290781 | Gazdzinski | Oct 2012 | B2 |
| 8296124 | Holsztynska et al. | Oct 2012 | B1 |
| 8296145 | Clark et al. | Oct 2012 | B2 |
| 8296146 | Gazdzinski | Oct 2012 | B2 |
| 8296153 | Gazdzinski | Oct 2012 | B2 |
| 8296380 | Kelly et al. | Oct 2012 | B1 |
| 8296383 | Lindahl | Oct 2012 | B2 |
| 8300776 | Davies et al. | Oct 2012 | B2 |
| 8300801 | Sweeney et al. | Oct 2012 | B2 |
| 8301456 | Gazdzinski | Oct 2012 | B2 |
| 8311189 | Champlin et al. | Nov 2012 | B2 |
| 8311834 | Gazdzinski | Nov 2012 | B1 |
| 8311835 | Lecoeuche | Nov 2012 | B2 |
| 8311838 | Lindahl et al. | Nov 2012 | B2 |
| 8312017 | Martin et al. | Nov 2012 | B2 |
| 8321786 | Lunati | Nov 2012 | B2 |
| 8326627 | Kennewick et al. | Dec 2012 | B2 |
| 8332205 | Krishnan et al. | Dec 2012 | B2 |
| 8332218 | Cross et al. | Dec 2012 | B2 |
| 8332224 | Di Cristo et al. | Dec 2012 | B2 |
| 8332748 | Karam | Dec 2012 | B1 |
| 8335689 | Wittenstein et al. | Dec 2012 | B2 |
| 8340975 | Rosenberger | Dec 2012 | B1 |
| 8345665 | Vieri et al. | Jan 2013 | B2 |
| 8346563 | Hjelm et al. | Jan 2013 | B1 |
| 8346757 | Lamping et al. | Jan 2013 | B1 |
| 8352183 | Thota et al. | Jan 2013 | B2 |
| 8352268 | Naik et al. | Jan 2013 | B2 |
| 8352272 | Rogers et al. | Jan 2013 | B2 |
| 8355919 | Silverman et al. | Jan 2013 | B2 |
| 8359234 | Vieri | Jan 2013 | B2 |
| 8370145 | Endo et al. | Feb 2013 | B2 |
| 8370158 | Gazdzinski | Feb 2013 | B2 |
| 8371503 | Gazdzinski | Feb 2013 | B2 |
| 8374871 | Ehsani et al. | Feb 2013 | B2 |
| 8375320 | Kotler et al. | Feb 2013 | B2 |
| 8380504 | Peden et al. | Feb 2013 | B1 |
| 8380507 | Herman et al. | Feb 2013 | B2 |
| 8381107 | Rottier et al. | Feb 2013 | B2 |
| 8381135 | Hotelling et al. | Feb 2013 | B2 |
| 8386485 | Kerschberg et al. | Feb 2013 | B2 |
| 8386926 | Matsuoka et al. | Feb 2013 | B1 |
| 8391844 | Novick et al. | Mar 2013 | B2 |
| 8396714 | Rogers et al. | Mar 2013 | B2 |
| 8396715 | Odell et al. | Mar 2013 | B2 |
| 8401163 | Kirchhoff et al. | Mar 2013 | B1 |
| 8406745 | Upadhyay et al. | Mar 2013 | B1 |
| 8407239 | Dean et al. | Mar 2013 | B2 |
| 8423288 | Stahl et al. | Apr 2013 | B2 |
| 8428758 | Naik et al. | Apr 2013 | B2 |
| 8433572 | Caskey et al. | Apr 2013 | B2 |
| 8433778 | Shreesha et al. | Apr 2013 | B1 |
| 8434133 | Kulkarni et al. | Apr 2013 | B2 |
| 8442821 | Vanhoucke | May 2013 | B1 |
| 8447612 | Gazdzinski | May 2013 | B2 |
| 8452597 | Bringert et al. | May 2013 | B2 |
| 8452602 | Bringert et al. | May 2013 | B1 |
| 8453058 | Coccaro et al. | May 2013 | B1 |
| 8457959 | Kaiser | Jun 2013 | B2 |
| 8458115 | Cai et al. | Jun 2013 | B2 |
| 8458278 | Christie et al. | Jun 2013 | B2 |
| 8463592 | Lu et al. | Jun 2013 | B2 |
| 8464150 | Davidson et al. | Jun 2013 | B2 |
| 8473289 | Jitkoff et al. | Jun 2013 | B2 |
| 8477323 | Low et al. | Jul 2013 | B2 |
| 8478816 | Parks et al. | Jul 2013 | B2 |
| 8479122 | Hotelling et al. | Jul 2013 | B2 |
| 8484027 | Murphy | Jul 2013 | B1 |
| 8489599 | Bellotti | Jul 2013 | B2 |
| 8498857 | Kopparapu et al. | Jul 2013 | B2 |
| 8514197 | Shahraray et al. | Aug 2013 | B2 |
| 8515736 | Duta | Aug 2013 | B1 |
| 8515750 | Lei et al. | Aug 2013 | B1 |
| 8521513 | Millett et al. | Aug 2013 | B2 |
| 8521526 | Lloyd et al. | Aug 2013 | B1 |
| 8521531 | Kim | Aug 2013 | B1 |
| 8527276 | Senior et al. | Sep 2013 | B1 |
| 8533266 | Koulomzin et al. | Sep 2013 | B2 |
| 8537033 | Gueziec | Sep 2013 | B2 |
| 8539342 | Lewis | Sep 2013 | B1 |
| 8543375 | Hong | Sep 2013 | B2 |
| 8543397 | Nguyen | Sep 2013 | B1 |
| 8543398 | Strope et al. | Sep 2013 | B1 |
| 8560229 | Park et al. | Oct 2013 | B1 |
| 8560366 | Mikurak | Oct 2013 | B2 |
| 8571528 | Channakeshava | Oct 2013 | B1 |
| 8571851 | Tickner et al. | Oct 2013 | B1 |
| 8577683 | Dewitt | Nov 2013 | B2 |
| 8583416 | Huang et al. | Nov 2013 | B2 |
| 8583511 | Hendrickson | Nov 2013 | B2 |
| 8583638 | Donelli | Nov 2013 | B2 |
| 8589156 | Burke et al. | Nov 2013 | B2 |
| 8589161 | Kennewick et al. | Nov 2013 | B2 |
| 8589374 | Chaudhari | Nov 2013 | B2 |
| 8589869 | Wolfram | Nov 2013 | B2 |
| 8589911 | Sharkey et al. | Nov 2013 | B1 |
| 8595004 | Koshinaka | Nov 2013 | B2 |
| 8595642 | Lagassey | Nov 2013 | B1 |
| 8600743 | Lindahi et al. | Dec 2013 | B2 |
| 8600746 | Lei et al. | Dec 2013 | B1 |
| 8600930 | Sata et al. | Dec 2013 | B2 |
| 8606090 | Eyer | Dec 2013 | B2 |
| 8606568 | Tickner et al. | Dec 2013 | B1 |
| 8606576 | Barr et al. | Dec 2013 | B1 |
| 8606577 | Stewart et al. | Dec 2013 | B1 |
| 8615221 | Cosenza et al. | Dec 2013 | B1 |
| 8620659 | Di Cristo et al. | Dec 2013 | B2 |
| 8620662 | Bellegarda | Dec 2013 | B2 |
| 8626681 | Jurca et al. | Jan 2014 | B1 |
| 8630841 | Van Caldwell et al. | Jan 2014 | B2 |
| 8635073 | Chang | Jan 2014 | B2 |
| 8638363 | King et al. | Jan 2014 | B2 |
| 8639516 | Lindahl et al. | Jan 2014 | B2 |
| 8645128 | Agiomyrgiannakis | Feb 2014 | B1 |
| 8645137 | Bellegarda et al. | Feb 2014 | B2 |
| 8645138 | Weinstein et al. | Feb 2014 | B1 |
| 8654936 | Eslambolchi et al. | Feb 2014 | B1 |
| 8655646 | Lee et al. | Feb 2014 | B2 |
| 8655901 | Li et al. | Feb 2014 | B1 |
| 8660843 | Falcon et al. | Feb 2014 | B2 |
| 8660849 | Gruber et al. | Feb 2014 | B2 |
| 8660924 | Hoch et al. | Feb 2014 | B2 |
| 8660970 | Fiedorowicz | Feb 2014 | B1 |
| 8661112 | Creamer et al. | Feb 2014 | B2 |
| 8661340 | Goldsmith et al. | Feb 2014 | B2 |
| 8670979 | Gruber et al. | Mar 2014 | B2 |
| 8675084 | Bolton et al. | Mar 2014 | B2 |
| 8676904 | Lindahl | Mar 2014 | B2 |
| 8677377 | Cheyer et al. | Mar 2014 | B2 |
| 8681950 | Vlack et al. | Mar 2014 | B2 |
| 8682667 | Haughay | Mar 2014 | B2 |
| 8687777 | Lavian et al. | Apr 2014 | B1 |
| 8688446 | Yanagihara | Apr 2014 | B2 |
| 8688453 | Joshi et al. | Apr 2014 | B1 |
| 8689135 | Portele et al. | Apr 2014 | B2 |
| 8694322 | Snitkovskiy et al. | Apr 2014 | B2 |
| 8695074 | Saraf et al. | Apr 2014 | B2 |
| 8696364 | Cohen | Apr 2014 | B2 |
| 8706472 | Ramerth et al. | Apr 2014 | B2 |
| 8706474 | Blume et al. | Apr 2014 | B2 |
| 8706503 | Cheyer et al. | Apr 2014 | B2 |
| 8707195 | Fleizach et al. | Apr 2014 | B2 |
| 8712778 | Thenthiruperai | Apr 2014 | B1 |
| 8713119 | Lindahl et al. | Apr 2014 | B2 |
| 8713418 | King et al. | Apr 2014 | B2 |
| 8719006 | Bellegarda | May 2014 | B2 |
| 8719014 | Wagner | May 2014 | B2 |
| 8719039 | Sharifi | May 2014 | B1 |
| 8731610 | Appaji | May 2014 | B2 |
| 8731912 | Tickner et al. | May 2014 | B1 |
| 8731942 | Cheyer et al. | May 2014 | B2 |
| 8739208 | Davis et al. | May 2014 | B2 |
| 8744852 | Seymour et al. | Jun 2014 | B1 |
| 8751971 | Fleizach et al. | Jun 2014 | B2 |
| 8760537 | Johnson et al. | Jun 2014 | B2 |
| 8762145 | Ouchi et al. | Jun 2014 | B2 |
| 8762156 | Chen | Jun 2014 | B2 |
| 8762469 | Lindahl | Jun 2014 | B2 |
| 8768693 | Somekh et al. | Jul 2014 | B2 |
| 8768702 | Mason et al. | Jul 2014 | B2 |
| 8775154 | Clinchant et al. | Jul 2014 | B2 |
| 8775177 | Heigold et al. | Jul 2014 | B1 |
| 8775931 | Fux et al. | Jul 2014 | B2 |
| 8781456 | Prociw | Jul 2014 | B2 |
| 8781841 | Wang | Jul 2014 | B1 |
| 8793301 | Wegenkittl et al. | Jul 2014 | B2 |
| 8798255 | Lubowich et al. | Aug 2014 | B2 |
| 8798995 | Edara | Aug 2014 | B1 |
| 8799000 | Guzzoni et al. | Aug 2014 | B2 |
| 8805690 | Lebeau et al. | Aug 2014 | B1 |
| 8812299 | Su | Aug 2014 | B1 |
| 8812302 | Xiao et al. | Aug 2014 | B2 |
| 8812321 | Gilbert et al. | Aug 2014 | B2 |
| 8823507 | Touloumtzis | Sep 2014 | B1 |
| 8831947 | Wasserblat et al. | Sep 2014 | B2 |
| 8831949 | Smith et al. | Sep 2014 | B1 |
| 8838457 | Cerra et al. | Sep 2014 | B2 |
| 8855915 | Furuhata et al. | Oct 2014 | B2 |
| 8861925 | Ohme | Oct 2014 | B1 |
| 8862252 | Rottler et al. | Oct 2014 | B2 |
| 8868111 | Kahn et al. | Oct 2014 | B1 |
| 8868409 | Mengibar et al. | Oct 2014 | B1 |
| 8868469 | Xu et al. | Oct 2014 | B2 |
| 8868529 | Lerenc | Oct 2014 | B2 |
| 8880405 | Cerra et al. | Nov 2014 | B2 |
| 8886534 | Nakano et al. | Nov 2014 | B2 |
| 8886540 | Cerra et al. | Nov 2014 | B2 |
| 8886541 | Friedlander | Nov 2014 | B2 |
| 8892446 | Cheyer et al. | Nov 2014 | B2 |
| 8893023 | Perry et al. | Nov 2014 | B2 |
| 8897822 | Martin | Nov 2014 | B2 |
| 8898064 | Thomas et al. | Nov 2014 | B1 |
| 8898568 | Bull et al. | Nov 2014 | B2 |
| 8903716 | Chen et al. | Dec 2014 | B2 |
| 8909693 | Frissora et al. | Dec 2014 | B2 |
| 8918321 | Czahor | Dec 2014 | B2 |
| 8922485 | Lloyd | Dec 2014 | B1 |
| 8930176 | Li et al. | Jan 2015 | B2 |
| 8930191 | Gruber et al. | Jan 2015 | B2 |
| 8938394 | Faaborg et al. | Jan 2015 | B1 |
| 8938450 | Spivack et al. | Jan 2015 | B2 |
| 8938688 | Bradford et al. | Jan 2015 | B2 |
| 8942986 | Cheyer et al. | Jan 2015 | B2 |
| 8943423 | Merrill et al. | Jan 2015 | B2 |
| 8964947 | Noolu et al. | Feb 2015 | B1 |
| 8972240 | Brockett et al. | Mar 2015 | B2 |
| 8972432 | Shaw et al. | Mar 2015 | B2 |
| 8972878 | Mohler et al. | Mar 2015 | B2 |
| 8976063 | Hawkins et al. | Mar 2015 | B1 |
| 8976108 | Hawkins et al. | Mar 2015 | B2 |
| 8977255 | Freeman et al. | Mar 2015 | B2 |
| 8983383 | Haskin | Mar 2015 | B1 |
| 8989713 | Doulton | Mar 2015 | B2 |
| 8990235 | King et al. | Mar 2015 | B2 |
| 8994660 | Neels et al. | Mar 2015 | B2 |
| 8995972 | Cronin | Mar 2015 | B1 |
| 8996350 | Dub et al. | Mar 2015 | B1 |
| 8996376 | Fleizach et al. | Mar 2015 | B2 |
| 8996381 | Mozer et al. | Mar 2015 | B2 |
| 8996639 | Faaborg et al. | Mar 2015 | B1 |
| 9002714 | Kim et al. | Apr 2015 | B2 |
| 9009046 | Stewart | Apr 2015 | B1 |
| 9015036 | Karov Zangvil et al. | Apr 2015 | B2 |
| 9020804 | Barbaiani et al. | Apr 2015 | B2 |
| 9026425 | Nikoulina et al. | May 2015 | B2 |
| 9026426 | Wu et al. | May 2015 | B2 |
| 9031834 | Coorman et al. | May 2015 | B2 |
| 9031970 | Das et al. | May 2015 | B1 |
| 9037967 | Al-jefri et al. | May 2015 | B1 |
| 9043208 | Koch et al. | May 2015 | B2 |
| 9043211 | Haiut et al. | May 2015 | B2 |
| 9046932 | Medlock et al. | Jun 2015 | B2 |
| 9049255 | Macfarlane et al. | Jun 2015 | B2 |
| 9049295 | Cooper et al. | Jun 2015 | B1 |
| 9053706 | Jitkoff et al. | Jun 2015 | B2 |
| 9058105 | Drory et al. | Jun 2015 | B2 |
| 9058332 | Darby et al. | Jun 2015 | B1 |
| 9058811 | Wang et al. | Jun 2015 | B2 |
| 9063979 | Chiu et al. | Jun 2015 | B2 |
| 9064495 | Torok et al. | Jun 2015 | B1 |
| 9065660 | Ellis et al. | Jun 2015 | B2 |
| 9070247 | Kuhn et al. | Jun 2015 | B2 |
| 9070366 | Mathias | Jun 2015 | B1 |
| 9071701 | Donaldson et al. | Jun 2015 | B2 |
| 9075435 | Noble et al. | Jul 2015 | B1 |
| 9076448 | Bennett et al. | Jul 2015 | B2 |
| 9076450 | Sadek et al. | Jul 2015 | B1 |
| 9081411 | Kalns et al. | Jul 2015 | B2 |
| 9081482 | Zhai et al. | Jul 2015 | B1 |
| 9082402 | Yadgar et al. | Jul 2015 | B2 |
| 9083581 | Addepalli et al. | Jul 2015 | B1 |
| 9094636 | Sanders et al. | Jul 2015 | B1 |
| 9098467 | Blanksteen et al. | Aug 2015 | B1 |
| 9101279 | Ritchey et al. | Aug 2015 | B2 |
| 9112984 | Sejnoha et al. | Aug 2015 | B2 |
| 9117447 | Gruber et al. | Aug 2015 | B2 |
| 9123338 | Sanders et al. | Sep 2015 | B1 |
| 9143907 | Caldwell et al. | Sep 2015 | B1 |
| 9159319 | Hoffmeister | Oct 2015 | B1 |
| 9164983 | Liu et al. | Oct 2015 | B2 |
| 9171541 | Kennewick et al. | Oct 2015 | B2 |
| 9171546 | Pike | Oct 2015 | B1 |
| 9183845 | Gopalakrishnan et al. | Nov 2015 | B1 |
| 9190062 | Haughay | Nov 2015 | B2 |
| 9208153 | Zaveri et al. | Dec 2015 | B1 |
| 9213754 | Zhan et al. | Dec 2015 | B1 |
| 9218122 | Thoma et al. | Dec 2015 | B2 |
| 9218809 | Bellegarda et al. | Dec 2015 | B2 |
| 9218819 | Stekkelpak et al. | Dec 2015 | B1 |
| 9223537 | Brown et al. | Dec 2015 | B2 |
| 9236047 | Rasmussen | Jan 2016 | B2 |
| 9241073 | Rensburg et al. | Jan 2016 | B1 |
| 9251713 | Giovanniello et al. | Feb 2016 | B1 |
| 9255812 | Maeoka et al. | Feb 2016 | B2 |
| 9258604 | Bilobrov et al. | Feb 2016 | B1 |
| 9262412 | Yang et al. | Feb 2016 | B2 |
| 9262612 | Cheyer | Feb 2016 | B2 |
| 9263058 | Huang et al. | Feb 2016 | B2 |
| 9280535 | Varma et al. | Mar 2016 | B2 |
| 9282211 | Osawa | Mar 2016 | B2 |
| 9286910 | Li et al. | Mar 2016 | B1 |
| 9292487 | Weber | Mar 2016 | B1 |
| 9292489 | Sak et al. | Mar 2016 | B1 |
| 9292492 | Sarikaya et al. | Mar 2016 | B2 |
| 9299344 | Braho et al. | Mar 2016 | B2 |
| 9300718 | Khanna | Mar 2016 | B2 |
| 9301256 | Mohan et al. | Mar 2016 | B2 |
| 9305543 | Fleizach et al. | Apr 2016 | B2 |
| 9305548 | Kennewick et al. | Apr 2016 | B2 |
| 9311308 | Sankarasubramaniam et al. | Apr 2016 | B2 |
| 9311912 | Swietlinski et al. | Apr 2016 | B1 |
| 9313317 | Lebeau et al. | Apr 2016 | B1 |
| 9318108 | Gruber et al. | Apr 2016 | B2 |
| 9325809 | Barros et al. | Apr 2016 | B1 |
| 9325842 | Siddiqi et al. | Apr 2016 | B1 |
| 9330659 | Ju et al. | May 2016 | B2 |
| 9330668 | Nanavati et al. | May 2016 | B2 |
| 9330720 | Lee | May 2016 | B2 |
| 9335983 | Breiner et al. | May 2016 | B2 |
| 9338493 | Van Os et al. | May 2016 | B2 |
| 9349368 | Lebeau et al. | May 2016 | B1 |
| 9355472 | Kocienda et al. | May 2016 | B2 |
| 9361084 | Costa | Jun 2016 | B1 |
| 9367541 | Servan et al. | Jun 2016 | B1 |
| 9368114 | Larson et al. | Jun 2016 | B2 |
| 9377871 | Waddell et al. | Jun 2016 | B2 |
| 9378456 | White et al. | Jun 2016 | B2 |
| 9378740 | Rosen et al. | Jun 2016 | B1 |
| 9380155 | Reding et al. | Jun 2016 | B1 |
| 9383827 | Faaborg et al. | Jul 2016 | B1 |
| 9384185 | Medlock et al. | Jul 2016 | B2 |
| 9390726 | Smus et al. | Jul 2016 | B1 |
| 9396722 | Chung et al. | Jul 2016 | B2 |
| 9401147 | Jitkoff et al. | Jul 2016 | B2 |
| 9406224 | Sanders et al. | Aug 2016 | B1 |
| 9406299 | Gollan et al. | Aug 2016 | B2 |
| 9408182 | Hurley et al. | Aug 2016 | B1 |
| 9412392 | Lindahl | Aug 2016 | B2 |
| 9418650 | Bharadwaj et al. | Aug 2016 | B2 |
| 9423266 | Clark et al. | Aug 2016 | B2 |
| 9424246 | Spencer et al. | Aug 2016 | B2 |
| 9424840 | Hart | Aug 2016 | B1 |
| 9431021 | Scalise et al. | Aug 2016 | B1 |
| 9432499 | Hajdu et al. | Aug 2016 | B2 |
| 9436918 | Pantel et al. | Sep 2016 | B2 |
| 9437186 | Liu et al. | Sep 2016 | B1 |
| 9437189 | Epstein et al. | Sep 2016 | B2 |
| 9442687 | Park et al. | Sep 2016 | B2 |
| 9443527 | Watanabe et al. | Sep 2016 | B1 |
| 9454599 | Golden et al. | Sep 2016 | B2 |
| 9454957 | Mathias et al. | Sep 2016 | B1 |
| 9465798 | Lin | Oct 2016 | B2 |
| 9465833 | Aravamudan et al. | Oct 2016 | B2 |
| 9465864 | Hu et al. | Oct 2016 | B2 |
| 9466027 | Byrne et al. | Oct 2016 | B2 |
| 9466294 | Tunstall-pedoe et al. | Oct 2016 | B1 |
| 9471566 | Zhang et al. | Oct 2016 | B1 |
| 9472196 | Wang et al. | Oct 2016 | B1 |
| 9483388 | Sankaranarasimhan et al. | Nov 2016 | B2 |
| 9483461 | Fleizach et al. | Nov 2016 | B2 |
| 9484021 | Mairesse et al. | Nov 2016 | B1 |
| 9495129 | Fleizach et al. | Nov 2016 | B2 |
| 9501741 | Cheyer et al. | Nov 2016 | B2 |
| 9502025 | Kennewick et al. | Nov 2016 | B2 |
| 9508028 | Bannister et al. | Nov 2016 | B2 |
| 9510044 | Pereira et al. | Nov 2016 | B1 |
| 9514470 | Topatan et al. | Dec 2016 | B2 |
| 9516014 | Zafiroglu et al. | Dec 2016 | B2 |
| 9519453 | Perkuhn et al. | Dec 2016 | B2 |
| 9524355 | Forbes et al. | Dec 2016 | B2 |
| 9531862 | Vadodaria | Dec 2016 | B1 |
| 9535906 | Lee et al. | Jan 2017 | B2 |
| 9536527 | Carlson | Jan 2017 | B1 |
| 9547647 | Badaskar | Jan 2017 | B2 |
| 9548050 | Gruber et al. | Jan 2017 | B2 |
| 9548979 | Johnson et al. | Jan 2017 | B1 |
| 9569549 | Jenkins et al. | Feb 2017 | B1 |
| 9575964 | Yadgar et al. | Feb 2017 | B2 |
| 9578173 | Sanghavi et al. | Feb 2017 | B2 |
| 9607612 | Deleeuw | Mar 2017 | B2 |
| 9619200 | Chakladar et al. | Apr 2017 | B2 |
| 9620113 | Kennewick et al. | Apr 2017 | B2 |
| 9620126 | Chiba | Apr 2017 | B2 |
| 9626955 | Fleizach et al. | Apr 2017 | B2 |
| 9633004 | Giuli et al. | Apr 2017 | B2 |
| 9633191 | Fleizach et al. | Apr 2017 | B2 |
| 9633660 | Haughay | Apr 2017 | B2 |
| 9652453 | Mathur et al. | May 2017 | B2 |
| 9658746 | Cohn et al. | May 2017 | B2 |
| 9659002 | Medlock et al. | May 2017 | B2 |
| 9659298 | Lynch et al. | May 2017 | B2 |
| 9665567 | Liu et al. | May 2017 | B2 |
| 9665662 | Gautam et al. | May 2017 | B1 |
| 9668121 | Naik et al. | May 2017 | B2 |
| 9672725 | Dotan-cohen et al. | Jun 2017 | B2 |
| 9691378 | Meyers et al. | Jun 2017 | B1 |
| 9697822 | Naik et al. | Jul 2017 | B1 |
| 9697827 | Lilly et al. | Jul 2017 | B1 |
| 9698999 | Mutagi | Jul 2017 | B2 |
| 9720907 | Bangalore et al. | Aug 2017 | B2 |
| 9721566 | Newendorp et al. | Aug 2017 | B2 |
| 9721570 | Beal et al. | Aug 2017 | B1 |
| 9723130 | Rand | Aug 2017 | B2 |
| 9734817 | Putrycz | Aug 2017 | B1 |
| 9734839 | Adams | Aug 2017 | B1 |
| 9741343 | Miles et al. | Aug 2017 | B1 |
| 9747083 | Roman et al. | Aug 2017 | B1 |
| 9747093 | Latino et al. | Aug 2017 | B2 |
| 9755605 | Li et al. | Sep 2017 | B1 |
| 9760566 | Heck et al. | Sep 2017 | B2 |
| 9767710 | Lee et al. | Sep 2017 | B2 |
| 9786271 | Combs et al. | Oct 2017 | B1 |
| 9792907 | Booklet et al. | Oct 2017 | B2 |
| 9812128 | Mixter et al. | Nov 2017 | B2 |
| 9813882 | Masterman | Nov 2017 | B1 |
| 9818400 | Paulik et al. | Nov 2017 | B2 |
| 9823811 | Brown et al. | Nov 2017 | B2 |
| 9823828 | Zambetti et al. | Nov 2017 | B2 |
| 9830044 | Brown et al. | Nov 2017 | B2 |
| 9830449 | Wagner | Nov 2017 | B1 |
| 9842584 | Hart et al. | Dec 2017 | B1 |
| 9846685 | Li | Dec 2017 | B2 |
| 9858925 | Gruber et al. | Jan 2018 | B2 |
| 9858927 | Williams et al. | Jan 2018 | B2 |
| 9886953 | Lemay et al. | Feb 2018 | B2 |
| 9887949 | Shepherd et al. | Feb 2018 | B2 |
| 9916839 | Scalise et al. | Mar 2018 | B1 |
| 9922642 | Pitschel et al. | Mar 2018 | B2 |
| 9934777 | Joseph et al. | Apr 2018 | B1 |
| 9934785 | Hulaud | Apr 2018 | B1 |
| 9946862 | Yun et al. | Apr 2018 | B2 |
| 9948728 | Linn et al. | Apr 2018 | B2 |
| 9959129 | Kannan et al. | May 2018 | B2 |
| 9966065 | Gruber et al. | May 2018 | B2 |
| 9966068 | Cash et al. | May 2018 | B2 |
| 9967381 | Kashimba et al. | May 2018 | B1 |
| 9971495 | Shetty et al. | May 2018 | B2 |
| 9984686 | Mutagi et al. | May 2018 | B1 |
| 9986419 | Naik et al. | May 2018 | B2 |
| 9990129 | Yang et al. | Jun 2018 | B2 |
| 9990176 | Gray | Jun 2018 | B1 |
| 9998552 | Ledet | Jun 2018 | B1 |
| 10001817 | Zambetti et al. | Jun 2018 | B2 |
| 10013416 | Bhardwaj et al. | Jul 2018 | B1 |
| 10013654 | Levy et al. | Jul 2018 | B1 |
| 10013979 | Roma et al. | Jul 2018 | B1 |
| 10019436 | Huang | Jul 2018 | B2 |
| 10032451 | Mamkina et al. | Jul 2018 | B1 |
| 10032455 | Newman et al. | Jul 2018 | B2 |
| 10037758 | Jing et al. | Jul 2018 | B2 |
| 10043516 | Saddler et al. | Aug 2018 | B2 |
| 10049161 | Kaneko | Aug 2018 | B2 |
| 10049663 | Orr et al. | Aug 2018 | B2 |
| 10049668 | Huang et al. | Aug 2018 | B2 |
| 10055681 | Brown et al. | Aug 2018 | B2 |
| 10074360 | Kim | Sep 2018 | B2 |
| 10074371 | Wang et al. | Sep 2018 | B1 |
| 10083213 | Podgorny et al. | Sep 2018 | B1 |
| 10083690 | Giuli et al. | Sep 2018 | B2 |
| 10088972 | Brown et al. | Oct 2018 | B2 |
| 10089072 | Piersol et al. | Oct 2018 | B2 |
| 10096319 | Jin et al. | Oct 2018 | B1 |
| 10101887 | Bernstein et al. | Oct 2018 | B2 |
| 10102359 | Cheyer | Oct 2018 | B2 |
| 10127901 | Zhao et al. | Nov 2018 | B2 |
| 10127908 | Deller et al. | Nov 2018 | B1 |
| 10134425 | Johnson, Jr. | Nov 2018 | B1 |
| 10169329 | Futrell et al. | Jan 2019 | B2 |
| 10170123 | Orr et al. | Jan 2019 | B2 |
| 10170135 | Pearce | Jan 2019 | B1 |
| 10175879 | Missig et al. | Jan 2019 | B2 |
| 10176167 | Evermann | Jan 2019 | B2 |
| 10176802 | Ladhak et al. | Jan 2019 | B1 |
| 10185542 | Carson et al. | Jan 2019 | B2 |
| 10186254 | Williams et al. | Jan 2019 | B2 |
| 10186266 | Devaraj et al. | Jan 2019 | B1 |
| 10191627 | Cieplinski et al. | Jan 2019 | B2 |
| 10191646 | Zambetti et al. | Jan 2019 | B2 |
| 10191718 | Rhee et al. | Jan 2019 | B2 |
| 10192546 | Piersol et al. | Jan 2019 | B1 |
| 10192552 | Raitio et al. | Jan 2019 | B2 |
| 10192557 | Lee et al. | Jan 2019 | B2 |
| 10199051 | Binder et al. | Feb 2019 | B2 |
| 10200824 | Gross et al. | Feb 2019 | B2 |
| 10216351 | Yang | Feb 2019 | B2 |
| 10216832 | Bangalore et al. | Feb 2019 | B2 |
| 10223066 | Martel et al. | Mar 2019 | B2 |
| 10225711 | Parks et al. | Mar 2019 | B2 |
| 10229356 | Liu et al. | Mar 2019 | B1 |
| 10237711 | Linn et al. | Mar 2019 | B2 |
| 10248308 | Karunamuni et al. | Apr 2019 | B2 |
| 10255922 | Sharifi et al. | Apr 2019 | B1 |
| 10269345 | Castillo Sanchez et al. | Apr 2019 | B2 |
| 10296160 | Shah et al. | May 2019 | B2 |
| 10297253 | Walker, II et al. | May 2019 | B2 |
| 10303772 | Hosn et al. | May 2019 | B2 |
| 10304463 | Mixter et al. | May 2019 | B2 |
| 10311482 | Baldwin | Jun 2019 | B2 |
| 10311871 | Newendorp et al. | Jun 2019 | B2 |
| 10325598 | Basye et al. | Jun 2019 | B2 |
| 10332513 | D'souza et al. | Jun 2019 | B1 |
| 10332518 | Garg et al. | Jun 2019 | B2 |
| 10346753 | Soon-Shiong et al. | Jul 2019 | B2 |
| 10353975 | Oh et al. | Jul 2019 | B2 |
| 10354677 | Mohamed et al. | Jul 2019 | B2 |
| 10356243 | Sanghavi et al. | Jul 2019 | B2 |
| 10366692 | Adams et al. | Jul 2019 | B1 |
| 10372814 | Giiozzo et al. | Aug 2019 | B2 |
| 10389876 | Engelke et al. | Aug 2019 | B2 |
| 10402066 | Kawana | Sep 2019 | B2 |
| 10403283 | Schramm et al. | Sep 2019 | B1 |
| 10409454 | Kagan et al. | Sep 2019 | B2 |
| 10410637 | Paulik et al. | Sep 2019 | B2 |
| 10417037 | Gruber et al. | Sep 2019 | B2 |
| 10417554 | Scheffler | Sep 2019 | B2 |
| 10446142 | Lim et al. | Oct 2019 | B2 |
| 10469665 | Bell et al. | Nov 2019 | B1 |
| 10474961 | Brigham et al. | Nov 2019 | B2 |
| 10496705 | Irani et al. | Dec 2019 | B1 |
| 10497365 | Gruber et al. | Dec 2019 | B2 |
| 10504518 | Irani et al. | Dec 2019 | B1 |
| 10521946 | Roche et al. | Dec 2019 | B1 |
| 10528386 | Yu | Jan 2020 | B2 |
| 10568032 | Freeman et al. | Feb 2020 | B2 |
| 10630795 | Aoki et al. | Apr 2020 | B2 |
| 10659851 | Lister et al. | May 2020 | B2 |
| 10757499 | Vautrin et al. | Aug 2020 | B1 |
| 10811013 | Seeker-walker et al. | Oct 2020 | B1 |
| 20030233230 | Ammicht | Dec 2003 | A1 |
| 20060149544 | Hakkani-tur et al. | Jul 2006 | A1 |
| 20080052262 | Kosinov et al. | Feb 2008 | A1 |
| 20080071536 | Nagashima | Mar 2008 | A1 |
| 20090234655 | Kwon | Sep 2009 | A1 |
| 20100004918 | Lee et al. | Jan 2010 | A1 |
| 20100004930 | Strope et al. | Jan 2010 | A1 |
| 20100004931 | Ma et al. | Jan 2010 | A1 |
| 20100005081 | Bennett | Jan 2010 | A1 |
| 20100007569 | Sim et al. | Jan 2010 | A1 |
| 20100010803 | Ishikawa et al. | Jan 2010 | A1 |
| 20100010814 | Patel | Jan 2010 | A1 |
| 20100010948 | Ito et al. | Jan 2010 | A1 |
| 20100013760 | Hirai et al. | Jan 2010 | A1 |
| 20100013796 | Abileah et al. | Jan 2010 | A1 |
| 20100017212 | Attwater et al. | Jan 2010 | A1 |
| 20100017382 | Katragadda et al. | Jan 2010 | A1 |
| 20100017741 | Karp et al. | Jan 2010 | A1 |
| 20100019834 | Zerbe et al. | Jan 2010 | A1 |
| 20100020035 | Ryu et al. | Jan 2010 | A1 |
| 20100023318 | Lemoine | Jan 2010 | A1 |
| 20100023320 | Di Cristo et al. | Jan 2010 | A1 |
| 20100023331 | Duta et al. | Jan 2010 | A1 |
| 20100026526 | Yokota | Feb 2010 | A1 |
| 20100030549 | Lee et al. | Feb 2010 | A1 |
| 20100030562 | Yoshizawa et al. | Feb 2010 | A1 |
| 20100030928 | Conroy et al. | Feb 2010 | A1 |
| 20100031143 | Rao et al. | Feb 2010 | A1 |
| 20100031150 | Andrew | Feb 2010 | A1 |
| 20100036653 | Kim et al. | Feb 2010 | A1 |
| 20100036655 | Cecil et al. | Feb 2010 | A1 |
| 20100036660 | Bennett | Feb 2010 | A1 |
| 20100036829 | Leyba | Feb 2010 | A1 |
| 20100036928 | Granite et al. | Feb 2010 | A1 |
| 20100037183 | Miyashita et al. | Feb 2010 | A1 |
| 20100037187 | Kondziela | Feb 2010 | A1 |
| 20100039495 | Rahman et al. | Feb 2010 | A1 |
| 20100042400 | Block et al. | Feb 2010 | A1 |
| 20100042576 | Roettger et al. | Feb 2010 | A1 |
| 20100046842 | Conwell | Feb 2010 | A1 |
| 20100049498 | Cao et al. | Feb 2010 | A1 |
| 20100049514 | Kennewick et al. | Feb 2010 | A1 |
| 20100050064 | Liu et al. | Feb 2010 | A1 |
| 20100050074 | Nachmani et al. | Feb 2010 | A1 |
| 20100054512 | Solum | Mar 2010 | A1 |
| 20100054601 | Anbalagan et al. | Mar 2010 | A1 |
| 20100057435 | Kent et al. | Mar 2010 | A1 |
| 20100057443 | Di Cristo et al. | Mar 2010 | A1 |
| 20100057457 | Ogata et al. | Mar 2010 | A1 |
| 20100057461 | Neubacher et al. | Mar 2010 | A1 |
| 20100057643 | Yang | Mar 2010 | A1 |
| 20100058200 | Jablokov et al. | Mar 2010 | A1 |
| 20100060646 | Unsal et al. | Mar 2010 | A1 |
| 20100063804 | Sato et al. | Mar 2010 | A1 |
| 20100063825 | Williams et al. | Mar 2010 | A1 |
| 20100063961 | Guiheneuf et al. | Mar 2010 | A1 |
| 20100064113 | Lindahl et al. | Mar 2010 | A1 |
| 20100064218 | Bull et al. | Mar 2010 | A1 |
| 20100064226 | Stefaniak et al. | Mar 2010 | A1 |
| 20100066546 | Aaron | Mar 2010 | A1 |
| 20100066684 | Shahraray et al. | Mar 2010 | A1 |
| 20100067723 | Bergmann et al. | Mar 2010 | A1 |
| 20100067867 | Lin | Mar 2010 | A1 |
| 20100070281 | Conkie et al. | Mar 2010 | A1 |
| 20100070517 | Ghosh et al. | Mar 2010 | A1 |
| 20100070521 | Clinchant et al. | Mar 2010 | A1 |
| 20100070899 | Hunt et al. | Mar 2010 | A1 |
| 20100071003 | Bychkov | Mar 2010 | A1 |
| 20100073201 | Holcomb et al. | Mar 2010 | A1 |
| 20100076760 | Kraenzel et al. | Mar 2010 | A1 |
| 20100076968 | Boyns et al. | Mar 2010 | A1 |
| 20100076993 | Klawitter et al. | Mar 2010 | A1 |
| 20100077350 | Lim et al. | Mar 2010 | A1 |
| 20100077469 | Furman et al. | Mar 2010 | A1 |
| 20100079501 | Ikeda et al. | Apr 2010 | A1 |
| 20100079508 | Hodge et al. | Apr 2010 | A1 |
| 20100080398 | Waldmann | Apr 2010 | A1 |
| 20100080470 | Deluca et al. | Apr 2010 | A1 |
| 20100081456 | Singh et al. | Apr 2010 | A1 |
| 20100081487 | Chen et al. | Apr 2010 | A1 |
| 20100082239 | Hardy et al. | Apr 2010 | A1 |
| 20100082286 | Leung | Apr 2010 | A1 |
| 20100082327 | Rogers et al. | Apr 2010 | A1 |
| 20100082328 | Rogers et al. | Apr 2010 | A1 |
| 20100082329 | Silverman et al. | Apr 2010 | A1 |
| 20100082333 | Al-shammari | Apr 2010 | A1 |
| 20100082343 | Levit et al. | Apr 2010 | A1 |
| 20100082345 | Wang et al. | Apr 2010 | A1 |
| 20100082346 | Rogers et al. | Apr 2010 | A1 |
| 20100082347 | Rogers et al. | Apr 2010 | A1 |
| 20100082348 | Silverman et al. | Apr 2010 | A1 |
| 20100082349 | Bellegarda et al. | Apr 2010 | A1 |
| 20100082376 | Levitt | Apr 2010 | A1 |
| 20100082567 | Rosenblatt et al. | Apr 2010 | A1 |
| 20100082653 | Nair | Apr 2010 | A1 |
| 20100082970 | Lindahl et al. | Apr 2010 | A1 |
| 20100086152 | Rank et al. | Apr 2010 | A1 |
| 20100086153 | Hagen et al. | Apr 2010 | A1 |
| 20100086156 | Rank et al. | Apr 2010 | A1 |
| 20100088020 | Sano et al. | Apr 2010 | A1 |
| 20100088093 | Lee et al. | Apr 2010 | A1 |
| 20100088100 | Lindahl | Apr 2010 | A1 |
| 20100094632 | Davis et al. | Apr 2010 | A1 |
| 20100098231 | Wohlert | Apr 2010 | A1 |
| 20100099354 | Johnson | Apr 2010 | A1 |
| 20100100080 | Huculak et al. | Apr 2010 | A1 |
| 20100100212 | Lindahl et al. | Apr 2010 | A1 |
| 20100100371 | Yuezhong et al. | Apr 2010 | A1 |
| 20100100384 | Ju et al. | Apr 2010 | A1 |
| 20100100385 | Davis et al. | Apr 2010 | A1 |
| 20100100515 | Bangalore et al. | Apr 2010 | A1 |
| 20100100816 | Mccloskey et al. | Apr 2010 | A1 |
| 20100103776 | Chan | Apr 2010 | A1 |
| 20100106486 | Hua et al. | Apr 2010 | A1 |
| 20100106498 | Morrison et al. | Apr 2010 | A1 |
| 20100106500 | Mckee et al. | Apr 2010 | A1 |
| 20100106503 | Farrell et al. | Apr 2010 | A1 |
| 20100106975 | Vandervort | Apr 2010 | A1 |
| 20100114856 | Kuboyama | May 2010 | A1 |
| 20100114887 | Conway et al. | May 2010 | A1 |
| 20100121637 | Roy et al. | May 2010 | A1 |
| 20100122306 | Pratt et al. | May 2010 | A1 |
| 20100125456 | Weng et al. | May 2010 | A1 |
| 20100125458 | Franco et al. | May 2010 | A1 |
| 20100125460 | Mellott et al. | May 2010 | A1 |
| 20100125811 | Moore et al. | May 2010 | A1 |
| 20100127854 | Helvick et al. | May 2010 | A1 |
| 20100128701 | Nagaraja | May 2010 | A1 |
| 20100131265 | Liu et al. | May 2010 | A1 |
| 20100131269 | Park et al. | May 2010 | A1 |
| 20100131273 | Aley-raz et al. | May 2010 | A1 |
| 20100131498 | Linthicum et al. | May 2010 | A1 |
| 20100131899 | Hubert | May 2010 | A1 |
| 20100138215 | Williams | Jun 2010 | A1 |
| 20100138224 | Bedingfield, Sr. | Jun 2010 | A1 |
| 20100138416 | Bellotti | Jun 2010 | A1 |
| 20100138680 | Brisebois et al. | Jun 2010 | A1 |
| 20100138759 | Roy | Jun 2010 | A1 |
| 20100138798 | Wilson et al. | Jun 2010 | A1 |
| 20100142740 | Roerup | Jun 2010 | A1 |
| 20100145694 | Ju | Jun 2010 | A1 |
| 20100145700 | Kennewick et al. | Jun 2010 | A1 |
| 20100145707 | Ljolje et al. | Jun 2010 | A1 |
| 20100146442 | Nagasaka et al. | Jun 2010 | A1 |
| 20100150321 | Harris et al. | Jun 2010 | A1 |
| 20100153114 | Shih et al. | Jun 2010 | A1 |
| 20100153115 | Klee et al. | Jun 2010 | A1 |
| 20100153448 | Harpur et al. | Jun 2010 | A1 |
| 20100153576 | Wohlert et al. | Jun 2010 | A1 |
| 20100153968 | Engel | Jun 2010 | A1 |
| 20100158207 | Dhawan et al. | Jun 2010 | A1 |
| 20100161311 | Massuh | Jun 2010 | A1 |
| 20100161313 | Karttunen | Jun 2010 | A1 |
| 20100161337 | Pulz et al. | Jun 2010 | A1 |
| 20100161554 | Datuashvili et al. | Jun 2010 | A1 |
| 20100164897 | Morin et al. | Jul 2010 | A1 |
| 20100169075 | Raffa et al. | Jul 2010 | A1 |
| 20100169093 | Washio | Jul 2010 | A1 |
| 20100169097 | Nachman et al. | Jul 2010 | A1 |
| 20100169098 | Patch | Jul 2010 | A1 |
| 20100171713 | Kwok et al. | Jul 2010 | A1 |
| 20100174544 | Heifets | Jul 2010 | A1 |
| 20100175066 | Paik | Jul 2010 | A1 |
| 20100179932 | Yoon et al. | Jul 2010 | A1 |
| 20100179991 | Lorch et al. | Jul 2010 | A1 |
| 20100180218 | Boston et al. | Jul 2010 | A1 |
| 20100185434 | Burvall et al. | Jul 2010 | A1 |
| 20100185448 | Meisel | Jul 2010 | A1 |
| 20100185949 | Jaeger | Jul 2010 | A1 |
| 20100191466 | Deluca et al. | Jul 2010 | A1 |
| 20100191520 | Gruhn et al. | Jul 2010 | A1 |
| 20100192221 | Waggoner | Jul 2010 | A1 |
| 20100195865 | Luff | Aug 2010 | A1 |
| 20100197359 | Harris | Aug 2010 | A1 |
| 20100198821 | Loritz et al. | Aug 2010 | A1 |
| 20100199180 | Brichter | Aug 2010 | A1 |
| 20100199215 | Seymour et al. | Aug 2010 | A1 |
| 20100199340 | Jonas et al. | Aug 2010 | A1 |
| 20100204986 | Kennewick et al. | Aug 2010 | A1 |
| 20100211199 | Naik et al. | Aug 2010 | A1 |
| 20100211379 | Gorman et al. | Aug 2010 | A1 |
| 20100211644 | Lavoie et al. | Aug 2010 | A1 |
| 20100215195 | Harma et al. | Aug 2010 | A1 |
| 20100216509 | Riemer et al. | Aug 2010 | A1 |
| 20100217581 | Hong | Aug 2010 | A1 |
| 20100217604 | Baldwin et al. | Aug 2010 | A1 |
| 20100222033 | Scott et al. | Sep 2010 | A1 |
| 20100222098 | Garg | Sep 2010 | A1 |
| 20100223055 | Mclean | Sep 2010 | A1 |
| 20100223056 | Kadirkamanathan | Sep 2010 | A1 |
| 20100223131 | Scott et al. | Sep 2010 | A1 |
| 20100225599 | Danielsson et al. | Sep 2010 | A1 |
| 20100225809 | Connors et al. | Sep 2010 | A1 |
| 20100227642 | Kim et al. | Sep 2010 | A1 |
| 20100228540 | Bennett | Sep 2010 | A1 |
| 20100228549 | Herman et al. | Sep 2010 | A1 |
| 20100228691 | Yang et al. | Sep 2010 | A1 |
| 20100229082 | Karmarkar et al. | Sep 2010 | A1 |
| 20100229100 | Miller et al. | Sep 2010 | A1 |
| 20100231474 | Yamagajo et al. | Sep 2010 | A1 |
| 20100235167 | Bourdon | Sep 2010 | A1 |
| 20100235341 | Bennett | Sep 2010 | A1 |
| 20100235729 | Kocienda et al. | Sep 2010 | A1 |
| 20100235732 | Bergman | Sep 2010 | A1 |
| 20100235770 | Ording et al. | Sep 2010 | A1 |
| 20100235780 | Westerman et al. | Sep 2010 | A1 |
| 20100235793 | Ording et al. | Sep 2010 | A1 |
| 20100241418 | Maeda et al. | Sep 2010 | A1 |
| 20100246784 | Frazier et al. | Sep 2010 | A1 |
| 20100250542 | Fujimaki | Sep 2010 | A1 |
| 20100250599 | Schmidt et al. | Sep 2010 | A1 |
| 20100255858 | Juhasz | Oct 2010 | A1 |
| 20100257160 | Cao | Oct 2010 | A1 |
| 20100257478 | Longe et al. | Oct 2010 | A1 |
| 20100257490 | Lyon et al. | Oct 2010 | A1 |
| 20100262599 | Nitz | Oct 2010 | A1 |
| 20100263015 | Pandey et al. | Oct 2010 | A1 |
| 20100268537 | Al-telmissani | Oct 2010 | A1 |
| 20100268539 | Xu et al. | Oct 2010 | A1 |
| 20100269040 | Lee | Oct 2010 | A1 |
| 20100274482 | Feng | Oct 2010 | A1 |
| 20100274753 | Liberty et al. | Oct 2010 | A1 |
| 20100277579 | Cho et al. | Nov 2010 | A1 |
| 20100278320 | Arsenault et al. | Nov 2010 | A1 |
| 20100278391 | Hsu et al. | Nov 2010 | A1 |
| 20100278453 | King | Nov 2010 | A1 |
| 20100280983 | Cho et al. | Nov 2010 | A1 |
| 20100281034 | Petrou et al. | Nov 2010 | A1 |
| 20100286984 | Wandinger et al. | Nov 2010 | A1 |
| 20100286985 | Kennewick et al. | Nov 2010 | A1 |
| 20100287241 | Swanburg et al. | Nov 2010 | A1 |
| 20100287514 | Cragun et al. | Nov 2010 | A1 |
| 20100290632 | Lin | Nov 2010 | A1 |
| 20100293460 | Budelli | Nov 2010 | A1 |
| 20100295645 | Fälldin et al. | Nov 2010 | A1 |
| 20100299133 | Kopparapu et al. | Nov 2010 | A1 |
| 20100299138 | Kim | Nov 2010 | A1 |
| 20100299142 | Freeman et al. | Nov 2010 | A1 |
| 20100299444 | Nile et al. | Nov 2010 | A1 |
| 20100302056 | Dutton et al. | Dec 2010 | A1 |
| 20100303254 | Yoshizawa et al. | Dec 2010 | A1 |
| 20100304342 | Zilber | Dec 2010 | A1 |
| 20100304705 | Hursey | Dec 2010 | A1 |
| 20100305807 | Basir et al. | Dec 2010 | A1 |
| 20100305947 | Schwarz et al. | Dec 2010 | A1 |
| 20100311395 | Zheng et al. | Dec 2010 | A1 |
| 20100312547 | Van Os et al. | Dec 2010 | A1 |
| 20100312566 | Odinak et al. | Dec 2010 | A1 |
| 20100318293 | Brush et al. | Dec 2010 | A1 |
| 20100318357 | Istvan et al. | Dec 2010 | A1 |
| 20100318366 | Sullivan et al. | Dec 2010 | A1 |
| 20100318570 | Narasinghanaliur et al. | Dec 2010 | A1 |
| 20100318576 | Kim | Dec 2010 | A1 |
| 20100322438 | Siotis | Dec 2010 | A1 |
| 20100324709 | Starmen | Dec 2010 | A1 |
| 20100324895 | Kurzweil et al. | Dec 2010 | A1 |
| 20100324896 | Attwater et al. | Dec 2010 | A1 |
| 20100324905 | Kurzweil et al. | Dec 2010 | A1 |
| 20100325131 | Dumais et al. | Dec 2010 | A1 |
| 20100325158 | Oral et al. | Dec 2010 | A1 |
| 20100325573 | Estrada et al. | Dec 2010 | A1 |
| 20100325588 | Reddy et al. | Dec 2010 | A1 |
| 20100330908 | Maddern et al. | Dec 2010 | A1 |
| 20100332003 | Yaguez | Dec 2010 | A1 |
| 20100332220 | Hursey et al. | Dec 2010 | A1 |
| 20100332224 | Makela et al. | Dec 2010 | A1 |
| 20100332235 | David | Dec 2010 | A1 |
| 20100332236 | Tan | Dec 2010 | A1 |
| 20100332280 | Bradley et al. | Dec 2010 | A1 |
| 20100332348 | Cao | Dec 2010 | A1 |
| 20100332428 | Mchenry et al. | Dec 2010 | A1 |
| 20100332976 | Fux et al. | Dec 2010 | A1 |
| 20100333030 | Johns | Dec 2010 | A1 |
| 20100333163 | Daly | Dec 2010 | A1 |
| 20110002487 | Panther et al. | Jan 2011 | A1 |
| 20110004475 | Bellegarda | Jan 2011 | A1 |
| 20110006876 | Moberg et al. | Jan 2011 | A1 |
| 20110009107 | Guba et al. | Jan 2011 | A1 |
| 20110010178 | Lee et al. | Jan 2011 | A1 |
| 20110010644 | Merrill et al. | Jan 2011 | A1 |
| 20110015928 | Odell et al. | Jan 2011 | A1 |
| 20110016150 | Engstrom et al. | Jan 2011 | A1 |
| 20110016421 | Krupka et al. | Jan 2011 | A1 |
| 20110018695 | Bells et al. | Jan 2011 | A1 |
| 20110021211 | Ohki | Jan 2011 | A1 |
| 20110021213 | Carr | Jan 2011 | A1 |
| 20110022292 | Shen et al. | Jan 2011 | A1 |
| 20110022388 | Wu et al. | Jan 2011 | A1 |
| 20110022393 | Wäller et al. | Jan 2011 | A1 |
| 20110022394 | Wide | Jan 2011 | A1 |
| 20110022472 | Zon | Jan 2011 | A1 |
| 20110022952 | Wu et al. | Jan 2011 | A1 |
| 20110028083 | Soitis | Feb 2011 | A1 |
| 20110029616 | Wang et al. | Feb 2011 | A1 |
| 20110029637 | Morse | Feb 2011 | A1 |
| 20110030067 | Wilson | Feb 2011 | A1 |
| 20110033064 | Johnson et al. | Feb 2011 | A1 |
| 20110034183 | Haag et al. | Feb 2011 | A1 |
| 20110035144 | Okamoto et al. | Feb 2011 | A1 |
| 20110035434 | Lockwood | Feb 2011 | A1 |
| 20110038489 | Visser et al. | Feb 2011 | A1 |
| 20110039584 | Merrett | Feb 2011 | A1 |
| 20110040707 | Theisen et al. | Feb 2011 | A1 |
| 20110045841 | Kuhlke et al. | Feb 2011 | A1 |
| 20110047072 | Ciurea | Feb 2011 | A1 |
| 20110047149 | Vaananen | Feb 2011 | A1 |
| 20110047161 | Myaeng et al. | Feb 2011 | A1 |
| 20110047246 | Frissora et al. | Feb 2011 | A1 |
| 20110047266 | Yu et al. | Feb 2011 | A1 |
| 20110047605 | Sontag et al. | Feb 2011 | A1 |
| 20110050591 | Kim et al. | Mar 2011 | A1 |
| 20110050592 | Kim et al. | Mar 2011 | A1 |
| 20110054647 | Chipchase | Mar 2011 | A1 |
| 20110054894 | Phillips et al. | Mar 2011 | A1 |
| 20110054901 | Qin et al. | Mar 2011 | A1 |
| 20110055244 | Donelli | Mar 2011 | A1 |
| 20110055256 | Phillips et al. | Mar 2011 | A1 |
| 20110060584 | Ferrucci et al. | Mar 2011 | A1 |
| 20110060587 | Phillips et al. | Mar 2011 | A1 |
| 20110060589 | Weinberg | Mar 2011 | A1 |
| 20110060807 | Martin et al. | Mar 2011 | A1 |
| 20110060812 | Middleton | Mar 2011 | A1 |
| 20110064378 | Gharaat et al. | Mar 2011 | A1 |
| 20110064387 | Mendeloff et al. | Mar 2011 | A1 |
| 20110065456 | Brennan et al. | Mar 2011 | A1 |
| 20110066366 | Ellanti et al. | Mar 2011 | A1 |
| 20110066436 | Bezar | Mar 2011 | A1 |
| 20110066468 | Huang et al. | Mar 2011 | A1 |
| 20110066602 | Studer et al. | Mar 2011 | A1 |
| 20110066634 | Phillips et al. | Mar 2011 | A1 |
| 20110072033 | White et al. | Mar 2011 | A1 |
| 20110072114 | Hoffert et al. | Mar 2011 | A1 |
| 20110072492 | Mohler et al. | Mar 2011 | A1 |
| 20110075818 | Vance et al. | Mar 2011 | A1 |
| 20110076994 | Kim et al. | Mar 2011 | A1 |
| 20110077943 | Miki et al. | Mar 2011 | A1 |
| 20110080260 | Wang et al. | Apr 2011 | A1 |
| 20110081889 | Gao et al. | Apr 2011 | A1 |
| 20110082688 | Kim | Apr 2011 | A1 |
| 20110083079 | Farrell et al. | Apr 2011 | A1 |
| 20110087491 | Wittenstein et al. | Apr 2011 | A1 |
| 20110087685 | Lin et al. | Apr 2011 | A1 |
| 20110090078 | Kim et al. | Apr 2011 | A1 |
| 20110092187 | Miller | Apr 2011 | A1 |
| 20110093261 | Angott | Apr 2011 | A1 |
| 20110093265 | Stent et al. | Apr 2011 | A1 |
| 20110093271 | Bernard | Apr 2011 | A1 |
| 20110093272 | Isobe et al. | Apr 2011 | A1 |
| 20110099000 | Rai et al. | Apr 2011 | A1 |
| 20110099157 | LeBeau et al. | Apr 2011 | A1 |
| 20110102161 | Heubel et al. | May 2011 | A1 |
| 20110103682 | Chidlovskii et al. | May 2011 | A1 |
| 20110105097 | Tadayon et al. | May 2011 | A1 |
| 20110106534 | Lebeau et al. | May 2011 | A1 |
| 20110106536 | Klappert | May 2011 | A1 |
| 20110106736 | Aharonson et al. | May 2011 | A1 |
| 20110106878 | Cho et al. | May 2011 | A1 |
| 20110106892 | Nelson et al. | May 2011 | A1 |
| 20110110502 | Daye et al. | May 2011 | A1 |
| 20110111724 | Baptiste | May 2011 | A1 |
| 20110112825 | Bellegarda | May 2011 | A1 |
| 20110112827 | Kennewick et al. | May 2011 | A1 |
| 20110112837 | Kurki-suonio et al. | May 2011 | A1 |
| 20110112838 | Adibi | May 2011 | A1 |
| 20110112921 | Kennewick et al. | May 2011 | A1 |
| 20110116480 | Li et al. | May 2011 | A1 |
| 20110116610 | Shaw et al. | May 2011 | A1 |
| 20110119049 | Ylonen | May 2011 | A1 |
| 20110119051 | Li et al. | May 2011 | A1 |
| 20110119623 | Kim | May 2011 | A1 |
| 20110119713 | Chang et al. | May 2011 | A1 |
| 20110119715 | Chang et al. | May 2011 | A1 |
| 20110123004 | Chang et al. | May 2011 | A1 |
| 20110125498 | Pickering et al. | May 2011 | A1 |
| 20110125540 | Jang et al. | May 2011 | A1 |
| 20110125701 | Nair et al. | May 2011 | A1 |
| 20110130958 | Stahl et al. | Jun 2011 | A1 |
| 20110131036 | Dicristo et al. | Jun 2011 | A1 |
| 20110131038 | Oyaizu et al. | Jun 2011 | A1 |
| 20110131045 | Cristo et al. | Jun 2011 | A1 |
| 20110137636 | Srihari et al. | Jun 2011 | A1 |
| 20110137664 | Kho et al. | Jun 2011 | A1 |
| 20110141141 | Kankainen | Jun 2011 | A1 |
| 20110143718 | Engelhart, Sr. | Jun 2011 | A1 |
| 20110143726 | De Silva | Jun 2011 | A1 |
| 20110143811 | Rodriguez | Jun 2011 | A1 |
| 20110144857 | Wingrove et al. | Jun 2011 | A1 |
| 20110144901 | Wang | Jun 2011 | A1 |
| 20110144973 | Bocchieri et al. | Jun 2011 | A1 |
| 20110144999 | Jang et al. | Jun 2011 | A1 |
| 20110145718 | Ketola et al. | Jun 2011 | A1 |
| 20110151415 | Darling et al. | Jun 2011 | A1 |
| 20110151830 | Blanda, Jr. et al. | Jun 2011 | A1 |
| 20110153209 | Geelen | Jun 2011 | A1 |
| 20110153322 | Kwak et al. | Jun 2011 | A1 |
| 20110153324 | Ballinger et al. | Jun 2011 | A1 |
| 20110153325 | Ballinger et al. | Jun 2011 | A1 |
| 20110153329 | Moorer | Jun 2011 | A1 |
| 20110153330 | Yazdani et al. | Jun 2011 | A1 |
| 20110153373 | Dantzig et al. | Jun 2011 | A1 |
| 20110154193 | Creutz et al. | Jun 2011 | A1 |
| 20110157029 | Tseng | Jun 2011 | A1 |
| 20110161072 | Terao et al. | Jun 2011 | A1 |
| 20110161076 | Davis et al. | Jun 2011 | A1 |
| 20110161079 | Gruhn et al. | Jun 2011 | A1 |
| 20110161309 | Lung et al. | Jun 2011 | A1 |
| 20110161852 | Vainio et al. | Jun 2011 | A1 |
| 20110166851 | Lebeau et al. | Jul 2011 | A1 |
| 20110166855 | Vermeulen et al. | Jul 2011 | A1 |
| 20110166862 | Eshed et al. | Jul 2011 | A1 |
| 20110167350 | Hoellwarth | Jul 2011 | A1 |
| 20110173003 | Levanon et al. | Jul 2011 | A1 |
| 20110173537 | Hemphill | Jul 2011 | A1 |
| 20110175810 | Markovic et al. | Jul 2011 | A1 |
| 20110178804 | Inoue et al. | Jul 2011 | A1 |
| 20110179002 | Dumitru et al. | Jul 2011 | A1 |
| 20110179372 | Moore et al. | Jul 2011 | A1 |
| 20110183627 | Ueda et al. | Jul 2011 | A1 |
| 20110183650 | Mckee | Jul 2011 | A1 |
| 20110184721 | Subramanian et al. | Jul 2011 | A1 |
| 20110184730 | Lebeau et al. | Jul 2011 | A1 |
| 20110184736 | Slotznick | Jul 2011 | A1 |
| 20110184737 | Nakano et al. | Jul 2011 | A1 |
| 20110184768 | Norton et al. | Jul 2011 | A1 |
| 20110184789 | Kirsch | Jul 2011 | A1 |
| 20110185288 | Gupta et al. | Jul 2011 | A1 |
| 20110191108 | Friedlander | Aug 2011 | A1 |
| 20110191271 | Baker et al. | Aug 2011 | A1 |
| 20110191344 | Jin et al. | Aug 2011 | A1 |
| 20110195758 | Damale et al. | Aug 2011 | A1 |
| 20110196670 | Dang et al. | Aug 2011 | A1 |
| 20110197128 | Assadollahi | Aug 2011 | A1 |
| 20110199312 | Okuta | Aug 2011 | A1 |
| 20110201385 | Higginbotham | Aug 2011 | A1 |
| 20110201387 | Paek et al. | Aug 2011 | A1 |
| 20110202526 | Lee et al. | Aug 2011 | A1 |
| 20110202594 | Ricci | Aug 2011 | A1 |
| 20110202874 | Ramer et al. | Aug 2011 | A1 |
| 20110205149 | Tom | Aug 2011 | A1 |
| 20110208511 | Sikstrom et al. | Aug 2011 | A1 |
| 20110208524 | Haughay | Aug 2011 | A1 |
| 20110209088 | Hinckley et al. | Aug 2011 | A1 |
| 20110212717 | Rhoads et al. | Sep 2011 | A1 |
| 20110216093 | Griffin | Sep 2011 | A1 |
| 20110218806 | Alewine et al. | Sep 2011 | A1 |
| 20110218855 | Cao et al. | Sep 2011 | A1 |
| 20110219018 | Bailey et al. | Sep 2011 | A1 |
| 20110223893 | Lau et al. | Sep 2011 | A1 |
| 20110224972 | Millett et al. | Sep 2011 | A1 |
| 20110228913 | Cochinwala et al. | Sep 2011 | A1 |
| 20110231182 | Weider et al. | Sep 2011 | A1 |
| 20110231184 | Kerr | Sep 2011 | A1 |
| 20110231188 | Kennewick et al. | Sep 2011 | A1 |
| 20110231189 | Anastasiadis et al. | Sep 2011 | A1 |
| 20110231218 | Tovar | Sep 2011 | A1 |
| 20110231432 | Sata et al. | Sep 2011 | A1 |
| 20110231474 | Locker et al. | Sep 2011 | A1 |
| 20110238191 | Kristjansson et al. | Sep 2011 | A1 |
| 20110238407 | Kent | Sep 2011 | A1 |
| 20110238408 | Larcheveque et al. | Sep 2011 | A1 |
| 20110238676 | Liu et al. | Sep 2011 | A1 |
| 20110239111 | Grover | Sep 2011 | A1 |
| 20110242007 | Gray et al. | Oct 2011 | A1 |
| 20110244888 | Ohki | Oct 2011 | A1 |
| 20110246471 | Rakib | Oct 2011 | A1 |
| 20110249144 | Chang | Oct 2011 | A1 |
| 20110250570 | Mack | Oct 2011 | A1 |
| 20110252108 | Morris et al. | Oct 2011 | A1 |
| 20110257966 | Rychlik | Oct 2011 | A1 |
| 20110258188 | Abdalmageed et al. | Oct 2011 | A1 |
| 20110260829 | Lee | Oct 2011 | A1 |
| 20110260861 | Singh et al. | Oct 2011 | A1 |
| 20110264530 | Santangelo et al. | Oct 2011 | A1 |
| 20110264643 | Cao | Oct 2011 | A1 |
| 20110264999 | Bells et al. | Oct 2011 | A1 |
| 20110270604 | Qi et al. | Nov 2011 | A1 |
| 20110274303 | Filson et al. | Nov 2011 | A1 |
| 20110276595 | Kirkland et al. | Nov 2011 | A1 |
| 20110276598 | Kozempel | Nov 2011 | A1 |
| 20110276944 | Bergman et al. | Nov 2011 | A1 |
| 20110279368 | Klein et al. | Nov 2011 | A1 |
| 20110280143 | Li et al. | Nov 2011 | A1 |
| 20110282663 | Talwar et al. | Nov 2011 | A1 |
| 20110282888 | Koperski et al. | Nov 2011 | A1 |
| 20110282903 | Zhang | Nov 2011 | A1 |
| 20110282906 | Wong | Nov 2011 | A1 |
| 20110283189 | Mccarty | Nov 2011 | A1 |
| 20110283190 | Poltorak | Nov 2011 | A1 |
| 20110288852 | Dymetman et al. | Nov 2011 | A1 |
| 20110288855 | Roy | Nov 2011 | A1 |
| 20110288861 | Kurzwei et al. | Nov 2011 | A1 |
| 20110288863 | Rasmussen | Nov 2011 | A1 |
| 20110288866 | Rasmussen | Nov 2011 | A1 |
| 20110288917 | Wanek et al. | Nov 2011 | A1 |
| 20110289530 | Dureau et al. | Nov 2011 | A1 |
| 20110298585 | Barry | Dec 2011 | A1 |
| 20110301943 | Patch | Dec 2011 | A1 |
| 20110302162 | Xiao et al. | Dec 2011 | A1 |
| 20110302645 | Headley | Dec 2011 | A1 |
| 20110306426 | Novak et al. | Dec 2011 | A1 |
| 20110307241 | Waibel et al. | Dec 2011 | A1 |
| 20110307254 | Hunt et al. | Dec 2011 | A1 |
| 20110307491 | Fisk et al. | Dec 2011 | A1 |
| 20110307810 | Hilerio et al. | Dec 2011 | A1 |
| 20110313775 | Laligand et al. | Dec 2011 | A1 |
| 20110313803 | Friend et al. | Dec 2011 | A1 |
| 20110314003 | Ju et al. | Dec 2011 | A1 |
| 20110314032 | Bennett et al. | Dec 2011 | A1 |
| 20110314404 | Kotler et al. | Dec 2011 | A1 |
| 20110314539 | Horton | Dec 2011 | A1 |
| 20110320187 | Motik et al. | Dec 2011 | A1 |
| 20120002820 | Leichter | Jan 2012 | A1 |
| 20120005602 | Anttila et al. | Jan 2012 | A1 |
| 20120008754 | Mukherjee et al. | Jan 2012 | A1 |
| 20120010886 | Razavilar | Jan 2012 | A1 |
| 20120011138 | Dunning et al. | Jan 2012 | A1 |
| 20120013609 | Reponen et al. | Jan 2012 | A1 |
| 20120015629 | Olsen et al. | Jan 2012 | A1 |
| 20120016658 | Wu et al. | Jan 2012 | A1 |
| 20120016678 | Gruber et al. | Jan 2012 | A1 |
| 20120019400 | Patel et al. | Jan 2012 | A1 |
| 20120020490 | Leichter | Jan 2012 | A1 |
| 20120020503 | Endo et al. | Jan 2012 | A1 |
| 20120022787 | Lebeau et al. | Jan 2012 | A1 |
| 20120022857 | Baldwin et al. | Jan 2012 | A1 |
| 20120022860 | Lloyd et al. | Jan 2012 | A1 |
| 20120022868 | Lebeau et al. | Jan 2012 | A1 |
| 20120022869 | Lloyd et al. | Jan 2012 | A1 |
| 20120022870 | Kristjansson et al. | Jan 2012 | A1 |
| 20120022872 | Gruber et al. | Jan 2012 | A1 |
| 20120022874 | Lloyd et al. | Jan 2012 | A1 |
| 20120022876 | Lebeau et al. | Jan 2012 | A1 |
| 20120022967 | Bachman et al. | Jan 2012 | A1 |
| 20120023088 | Cheng et al. | Jan 2012 | A1 |
| 20120023095 | Wadycki et al. | Jan 2012 | A1 |
| 20120023462 | Rosing et al. | Jan 2012 | A1 |
| 20120026395 | Jin et al. | Feb 2012 | A1 |
| 20120029661 | Jones et al. | Feb 2012 | A1 |
| 20120029910 | Medlock et al. | Feb 2012 | A1 |
| 20120034904 | Lebeau et al. | Feb 2012 | A1 |
| 20120035907 | Lebeau et al. | Feb 2012 | A1 |
| 20120035908 | Lebeau et al. | Feb 2012 | A1 |
| 20120035924 | Jitkoff et al. | Feb 2012 | A1 |
| 20120035925 | Friend et al. | Feb 2012 | A1 |
| 20120035926 | Ambler | Feb 2012 | A1 |
| 20120035931 | Lebeau et al. | Feb 2012 | A1 |
| 20120035932 | Jitkoff et al. | Feb 2012 | A1 |
| 20120035935 | Park et al. | Feb 2012 | A1 |
| 20120036556 | Lebeau et al. | Feb 2012 | A1 |
| 20120039539 | Boiman et al. | Feb 2012 | A1 |
| 20120039578 | Issa et al. | Feb 2012 | A1 |
| 20120041752 | Wang et al. | Feb 2012 | A1 |
| 20120041756 | Hanazawa et al. | Feb 2012 | A1 |
| 20120041759 | Barker et al. | Feb 2012 | A1 |
| 20120042014 | Desai et al. | Feb 2012 | A1 |
| 20120042343 | Laligand et al. | Feb 2012 | A1 |
| 20120052945 | Miyamoto et al. | Mar 2012 | A1 |
| 20120053815 | Montanari et al. | Mar 2012 | A1 |
| 20120053829 | Agarwal et al. | Mar 2012 | A1 |
| 20120053945 | Gupta et al. | Mar 2012 | A1 |
| 20120056815 | Mehra | Mar 2012 | A1 |
| 20120059655 | Cartales | Mar 2012 | A1 |
| 20120059813 | Sejnoha et al. | Mar 2012 | A1 |
| 20120060052 | White et al. | Mar 2012 | A1 |
| 20120062473 | Xiao et al. | Mar 2012 | A1 |
| 20120064975 | Gault et al. | Mar 2012 | A1 |
| 20120066212 | Jennings | Mar 2012 | A1 |
| 20120066581 | Spalink | Mar 2012 | A1 |
| 20120075054 | Ge et al. | Mar 2012 | A1 |
| 20120075184 | Madhvanath | Mar 2012 | A1 |
| 20120077479 | Sabotta et al. | Mar 2012 | A1 |
| 20120078611 | Soltani et al. | Mar 2012 | A1 |
| 20120078624 | Yook et al. | Mar 2012 | A1 |
| 20120078627 | Wagner | Mar 2012 | A1 |
| 20120078635 | Rothkopf et al. | Mar 2012 | A1 |
| 20120078747 | Chakrabarti et al. | Mar 2012 | A1 |
| 20120082317 | Pance et al. | Apr 2012 | A1 |
| 20120083286 | Kim et al. | Apr 2012 | A1 |
| 20120084086 | Gilbert et al. | Apr 2012 | A1 |
| 20120084087 | Yang et al. | Apr 2012 | A1 |
| 20120084089 | Lloyd et al. | Apr 2012 | A1 |
| 20120084634 | Wong et al. | Apr 2012 | A1 |
| 20120088219 | Briscoe et al. | Apr 2012 | A1 |
| 20120089331 | Schmidt et al. | Apr 2012 | A1 |
| 20120089659 | Halevi et al. | Apr 2012 | A1 |
| 20120094645 | Jeffrey | Apr 2012 | A1 |
| 20120101823 | Weng et al. | Apr 2012 | A1 |
| 20120105257 | Murillo et al. | May 2012 | A1 |
| 20120108166 | Hymel | May 2012 | A1 |
| 20120108221 | Thomas et al. | May 2012 | A1 |
| 20120109632 | Sugiura et al. | May 2012 | A1 |
| 20120109753 | Kennewick et al. | May 2012 | A1 |
| 20120109997 | Sparks et al. | May 2012 | A1 |
| 20120110456 | Larco et al. | May 2012 | A1 |
| 20120114108 | Katis et al. | May 2012 | A1 |
| 20120116770 | Chen et al. | May 2012 | A1 |
| 20120117499 | Mori et al. | May 2012 | A1 |
| 20120117590 | Agnihotri et al. | May 2012 | A1 |
| 20120124126 | Alcazar et al. | May 2012 | A1 |
| 20120124177 | Sparks | May 2012 | A1 |
| 20120124178 | Sparks | May 2012 | A1 |
| 20120128322 | Shaffer et al. | May 2012 | A1 |
| 20120130709 | Bocchieri et al. | May 2012 | A1 |
| 20120130995 | Risvik et al. | May 2012 | A1 |
| 20120135714 | King, II | May 2012 | A1 |
| 20120136529 | Curtis et al. | May 2012 | A1 |
| 20120136572 | Norton | May 2012 | A1 |
| 20120136649 | Freising et al. | May 2012 | A1 |
| 20120136855 | Ni et al. | May 2012 | A1 |
| 20120136985 | Popescu et al. | May 2012 | A1 |
| 20120137367 | Dupont et al. | May 2012 | A1 |
| 20120149342 | Cohen et al. | Jun 2012 | A1 |
| 20120149394 | Singh et al. | Jun 2012 | A1 |
| 20120150532 | Mirowski et al. | Jun 2012 | A1 |
| 20120150544 | Mcloughlin et al. | Jun 2012 | A1 |
| 20120150580 | Norton | Jun 2012 | A1 |
| 20120158293 | Burnham | Jun 2012 | A1 |
| 20120158399 | Tremblay et al. | Jun 2012 | A1 |
| 20120158422 | Burnham et al. | Jun 2012 | A1 |
| 20120159380 | Kocienda et al. | Jun 2012 | A1 |
| 20120163710 | Skaff et al. | Jun 2012 | A1 |
| 20120166177 | Beld et al. | Jun 2012 | A1 |
| 20120166196 | Ju et al. | Jun 2012 | A1 |
| 20120166429 | Moore et al. | Jun 2012 | A1 |
| 20120166942 | Ramerth et al. | Jun 2012 | A1 |
| 20120166959 | Hilerio et al. | Jun 2012 | A1 |
| 20120166998 | Cotterill et al. | Jun 2012 | A1 |
| 20120173222 | Wang et al. | Jul 2012 | A1 |
| 20120173244 | Kwak | Jul 2012 | A1 |
| 20120173464 | Tur et al. | Jul 2012 | A1 |
| 20120174121 | Treat et al. | Jul 2012 | A1 |
| 20120176255 | Choi et al. | Jul 2012 | A1 |
| 20120179457 | Newman et al. | Jul 2012 | A1 |
| 20120179467 | Williams et al. | Jul 2012 | A1 |
| 20120179471 | Newman et al. | Jul 2012 | A1 |
| 20120185237 | Gajic et al. | Jul 2012 | A1 |
| 20120185480 | Ni et al. | Jul 2012 | A1 |
| 20120185781 | Guzman et al. | Jul 2012 | A1 |
| 20120191461 | Lin et al. | Jul 2012 | A1 |
| 20120192096 | Bowman et al. | Jul 2012 | A1 |
| 20120197743 | Grigg et al. | Aug 2012 | A1 |
| 20120197995 | Caruso | Aug 2012 | A1 |
| 20120197998 | Kessel et al. | Aug 2012 | A1 |
| 20120201362 | Crossan et al. | Aug 2012 | A1 |
| 20120203767 | Williams et al. | Aug 2012 | A1 |
| 20120209454 | Miller et al. | Aug 2012 | A1 |
| 20120209654 | Romagnino et al. | Aug 2012 | A1 |
| 20120209853 | Desai et al. | Aug 2012 | A1 |
| 20120209874 | Wong et al. | Aug 2012 | A1 |
| 20120210266 | Jiang et al. | Aug 2012 | A1 |
| 20120210378 | Mccoy et al. | Aug 2012 | A1 |
| 20120214141 | Raya et al. | Aug 2012 | A1 |
| 20120214517 | Singh et al. | Aug 2012 | A1 |
| 20120215640 | Ramer et al. | Aug 2012 | A1 |
| 20120215762 | Hall et al. | Aug 2012 | A1 |
| 20120221339 | Wang et al. | Aug 2012 | A1 |
| 20120221552 | Reponen et al. | Aug 2012 | A1 |
| 20120223889 | Medlock et al. | Sep 2012 | A1 |
| 20120223936 | Aughey et al. | Sep 2012 | A1 |
| 20120232885 | Barbosa et al. | Sep 2012 | A1 |
| 20120232886 | Capuozzo et al. | Sep 2012 | A1 |
| 20120232906 | Lindahl | Sep 2012 | A1 |
| 20120233207 | Mohajer | Sep 2012 | A1 |
| 20120233266 | Hassan et al. | Sep 2012 | A1 |
| 20120233280 | Ebara | Sep 2012 | A1 |
| 20120239403 | Cano et al. | Sep 2012 | A1 |
| 20120239661 | Giblin | Sep 2012 | A1 |
| 20120239761 | Linner et al. | Sep 2012 | A1 |
| 20120242482 | Elumalai et al. | Sep 2012 | A1 |
| 20120245719 | Story, Jr. et al. | Sep 2012 | A1 |
| 20120245939 | Braho et al. | Sep 2012 | A1 |
| 20120245941 | Cheyer | Sep 2012 | A1 |
| 20120245944 | Gruber et al. | Sep 2012 | A1 |
| 20120246064 | Balkow | Sep 2012 | A1 |
| 20120250858 | Iqbal et al. | Oct 2012 | A1 |
| 20120252367 | Gaglio et al. | Oct 2012 | A1 |
| 20120252540 | Kirigaya | Oct 2012 | A1 |
| 20120253785 | Hamid et al. | Oct 2012 | A1 |
| 20120253791 | Heck et al. | Oct 2012 | A1 |
| 20120254143 | Varma et al. | Oct 2012 | A1 |
| 20120254152 | Park et al. | Oct 2012 | A1 |
| 20120254290 | Naaman | Oct 2012 | A1 |
| 20120259615 | Morin et al. | Oct 2012 | A1 |
| 20120262296 | Bezar | Oct 2012 | A1 |
| 20120265482 | Grokop et al. | Oct 2012 | A1 |
| 20120265528 | Gruber et al. | Oct 2012 | A1 |
| 20120265535 | Bryant-rich et al. | Oct 2012 | A1 |
| 20120265787 | Hsu et al. | Oct 2012 | A1 |
| 20120265806 | Blanchflower et al. | Oct 2012 | A1 |
| 20120271625 | Bernard | Oct 2012 | A1 |
| 20120271634 | Lenke | Oct 2012 | A1 |
| 20120271635 | Ljolje | Oct 2012 | A1 |
| 20120271640 | Basir | Oct 2012 | A1 |
| 20120271676 | Aravamudan et al. | Oct 2012 | A1 |
| 20120275377 | Lehane et al. | Nov 2012 | A1 |
| 20120278744 | Kozitsyn et al. | Nov 2012 | A1 |
| 20120278812 | Wang | Nov 2012 | A1 |
| 20120284015 | Drewes | Nov 2012 | A1 |
| 20120284027 | Mallett et al. | Nov 2012 | A1 |
| 20120290291 | Shelley et al. | Nov 2012 | A1 |
| 20120290300 | Lee et al. | Nov 2012 | A1 |
| 20120290657 | Parks et al. | Nov 2012 | A1 |
| 20120290680 | Hwang | Nov 2012 | A1 |
| 20120295708 | Hernandez-abrego et al. | Nov 2012 | A1 |
| 20120296638 | Patwa | Nov 2012 | A1 |
| 20120296649 | Bansal et al. | Nov 2012 | A1 |
| 20120296654 | Hendrickson et al. | Nov 2012 | A1 |
| 20120296891 | Rangan | Nov 2012 | A1 |
| 20120297341 | Glazer et al. | Nov 2012 | A1 |
| 20120297348 | Santoro | Nov 2012 | A1 |
| 20120303369 | Brush et al. | Nov 2012 | A1 |
| 20120303371 | Labsky et al. | Nov 2012 | A1 |
| 20120304124 | Chen et al. | Nov 2012 | A1 |
| 20120304239 | Shahraray et al. | Nov 2012 | A1 |
| 20120309363 | Gruber et al. | Dec 2012 | A1 |
| 20120310642 | Cao et al. | Dec 2012 | A1 |
| 20120310649 | Cannistraro et al. | Dec 2012 | A1 |
| 20120310652 | O″sullivan | Dec 2012 | A1 |
| 20120310922 | Johnson et al. | Dec 2012 | A1 |
| 20120311478 | Van Os et al. | Dec 2012 | A1 |
| 20120311583 | Gruber et al. | Dec 2012 | A1 |
| 20120311584 | Gruber et al. | Dec 2012 | A1 |
| 20120311585 | Gruber et al. | Dec 2012 | A1 |
| 20120316774 | Yariv et al. | Dec 2012 | A1 |
| 20120316862 | Sultan et al. | Dec 2012 | A1 |
| 20120316875 | Nyquist et al. | Dec 2012 | A1 |
| 20120316878 | Singleton et al. | Dec 2012 | A1 |
| 20120316955 | Panguluri et al. | Dec 2012 | A1 |
| 20120317194 | Tian | Dec 2012 | A1 |
| 20120317498 | Logan et al. | Dec 2012 | A1 |
| 20120321112 | Schubert et al. | Dec 2012 | A1 |
| 20120323560 | Perez Cortes et al. | Dec 2012 | A1 |
| 20120324391 | Tocci | Dec 2012 | A1 |
| 20120327009 | Fleizach | Dec 2012 | A1 |
| 20120329529 | Van Der Raadt | Dec 2012 | A1 |
| 20120330660 | Jaiswal | Dec 2012 | A1 |
| 20120330661 | Lindahl | Dec 2012 | A1 |
| 20120330990 | Chen et al. | Dec 2012 | A1 |
| 20130002716 | Walker et al. | Jan 2013 | A1 |
| 20130005405 | Prociw | Jan 2013 | A1 |
| 20130006633 | Grokop et al. | Jan 2013 | A1 |
| 20130006637 | Kanevsky et al. | Jan 2013 | A1 |
| 20130006638 | Lindahl | Jan 2013 | A1 |
| 20130007240 | Qiu et al. | Jan 2013 | A1 |
| 20130007648 | Gamon et al. | Jan 2013 | A1 |
| 20130009858 | Lacey | Jan 2013 | A1 |
| 20130010575 | He et al. | Jan 2013 | A1 |
| 20130013313 | Shechtman et al. | Jan 2013 | A1 |
| 20130013319 | Grant et al. | Jan 2013 | A1 |
| 20130014026 | Beringer et al. | Jan 2013 | A1 |
| 20130018659 | Chi | Jan 2013 | A1 |
| 20130018863 | Regan et al. | Jan 2013 | A1 |
| 20130024277 | Tuchman et al. | Jan 2013 | A1 |
| 20130024576 | Dishneau et al. | Jan 2013 | A1 |
| 20130027875 | Zhu et al. | Jan 2013 | A1 |
| 20130028404 | Omalley et al. | Jan 2013 | A1 |
| 20130030787 | Cancedda et al. | Jan 2013 | A1 |
| 20130030789 | Dalce | Jan 2013 | A1 |
| 20130030804 | Zavaliagkos et al. | Jan 2013 | A1 |
| 20130030815 | Madhvanath et al. | Jan 2013 | A1 |
| 20130030904 | Aidasani et al. | Jan 2013 | A1 |
| 20130030913 | Zhu et al. | Jan 2013 | A1 |
| 20130030955 | David | Jan 2013 | A1 |
| 20130031162 | Willis et al. | Jan 2013 | A1 |
| 20130031476 | Coin et al. | Jan 2013 | A1 |
| 20130033643 | Kim et al. | Feb 2013 | A1 |
| 20130035086 | Chardon et al. | Feb 2013 | A1 |
| 20130035942 | Kim et al. | Feb 2013 | A1 |
| 20130035961 | Yegnanarayanan | Feb 2013 | A1 |
| 20130041647 | Ramerth et al. | Feb 2013 | A1 |
| 20130041654 | Walker et al. | Feb 2013 | A1 |
| 20130041661 | Lee et al. | Feb 2013 | A1 |
| 20130041665 | Jang et al. | Feb 2013 | A1 |
| 20130041667 | Longe et al. | Feb 2013 | A1 |
| 20130041968 | Cohen et al. | Feb 2013 | A1 |
| 20130046544 | Kay et al. | Feb 2013 | A1 |
| 20130047178 | Moon et al. | Feb 2013 | A1 |
| 20130050089 | Neels et al. | Feb 2013 | A1 |
| 20130054550 | Bolohan | Feb 2013 | A1 |
| 20130054609 | Rajput et al. | Feb 2013 | A1 |
| 20130054613 | Bishop | Feb 2013 | A1 |
| 20130054631 | Govani et al. | Feb 2013 | A1 |
| 20130054675 | Jenkins et al. | Feb 2013 | A1 |
| 20130054706 | Graham et al. | Feb 2013 | A1 |
| 20130055099 | Yao et al. | Feb 2013 | A1 |
| 20130055147 | Vasudev et al. | Feb 2013 | A1 |
| 20130060571 | Soemo et al. | Mar 2013 | A1 |
| 20130061139 | Mahkovec et al. | Mar 2013 | A1 |
| 20130063611 | Papakipos et al. | Mar 2013 | A1 |
| 20130066832 | Sheehan et al. | Mar 2013 | A1 |
| 20130067307 | Tian et al. | Mar 2013 | A1 |
| 20130067312 | Rose | Mar 2013 | A1 |
| 20130067421 | Osman et al. | Mar 2013 | A1 |
| 20130069769 | Pennington et al. | Mar 2013 | A1 |
| 20130073286 | Bastea-forte et al. | Mar 2013 | A1 |
| 20130073293 | Jang et al. | Mar 2013 | A1 |
| 20130073346 | Chun et al. | Mar 2013 | A1 |
| 20130073580 | Mehanna et al. | Mar 2013 | A1 |
| 20130078930 | Chen et al. | Mar 2013 | A1 |
| 20130080152 | Brun et al. | Mar 2013 | A1 |
| 20130080162 | Chang et al. | Mar 2013 | A1 |
| 20130080167 | Mozer | Mar 2013 | A1 |
| 20130080177 | Chen | Mar 2013 | A1 |
| 20130080178 | Kang et al. | Mar 2013 | A1 |
| 20130080251 | Dempski | Mar 2013 | A1 |
| 20130082967 | Hillis et al. | Apr 2013 | A1 |
| 20130085755 | Bringert et al. | Apr 2013 | A1 |
| 20130085761 | Bringert et al. | Apr 2013 | A1 |
| 20130086609 | Levy et al. | Apr 2013 | A1 |
| 20130090921 | Liu et al. | Apr 2013 | A1 |
| 20130091090 | Spivack et al. | Apr 2013 | A1 |
| 20130095805 | Lebeau et al. | Apr 2013 | A1 |
| 20130096909 | Brun et al. | Apr 2013 | A1 |
| 20130096911 | Beaufort et al. | Apr 2013 | A1 |
| 20130096917 | Edgar et al. | Apr 2013 | A1 |
| 20130097566 | Berglund | Apr 2013 | A1 |
| 20130097682 | Zeljkovic et al. | Apr 2013 | A1 |
| 20130100017 | Papakipos et al. | Apr 2013 | A1 |
| 20130100268 | Mihailidis et al. | Apr 2013 | A1 |
| 20130103391 | Millmore et al. | Apr 2013 | A1 |
| 20130103405 | Namba et al. | Apr 2013 | A1 |
| 20130106742 | Lee et al. | May 2013 | A1 |
| 20130107053 | Ozaki | May 2013 | A1 |
| 20130110505 | Gruber et al. | May 2013 | A1 |
| 20130110515 | Guzzoni et al. | May 2013 | A1 |
| 20130110518 | Gruber et al. | May 2013 | A1 |
| 20130110519 | Cheyer et al. | May 2013 | A1 |
| 20130110520 | Cheyer et al. | May 2013 | A1 |
| 20130110943 | Menon et al. | May 2013 | A1 |
| 20130111330 | Staikos et al. | May 2013 | A1 |
| 20130111348 | Gruber et al. | May 2013 | A1 |
| 20130111365 | Chen et al. | May 2013 | A1 |
| 20130111487 | Cheyer et al. | May 2013 | A1 |
| 20130111581 | Griffin et al. | May 2013 | A1 |
| 20130115927 | Gruber et al. | May 2013 | A1 |
| 20130117022 | Chen et al. | May 2013 | A1 |
| 20130124189 | Baldwin et al. | May 2013 | A1 |
| 20130124672 | Pan | May 2013 | A1 |
| 20130125168 | Agnihotri et al. | May 2013 | A1 |
| 20130132081 | Ryu et al. | May 2013 | A1 |
| 20130132084 | Stonehocker et al. | May 2013 | A1 |
| 20130132089 | Fanty et al. | May 2013 | A1 |
| 20130132871 | Zeng et al. | May 2013 | A1 |
| 20130138440 | Strope et al. | May 2013 | A1 |
| 20130141551 | Kim | Jun 2013 | A1 |
| 20130142317 | Reynolds | Jun 2013 | A1 |
| 20130142345 | Waldmann | Jun 2013 | A1 |
| 20130144594 | Bangalore et al. | Jun 2013 | A1 |
| 20130144616 | Bangalore | Jun 2013 | A1 |
| 20130151339 | Kim et al. | Jun 2013 | A1 |
| 20130152092 | Yadgar | Jun 2013 | A1 |
| 20130154811 | Ferren et al. | Jun 2013 | A1 |
| 20130155948 | Pinheiro et al. | Jun 2013 | A1 |
| 20130156198 | Kim et al. | Jun 2013 | A1 |
| 20130157629 | Lee et al. | Jun 2013 | A1 |
| 20130158977 | Senior | Jun 2013 | A1 |
| 20130159847 | Banke et al. | Jun 2013 | A1 |
| 20130159861 | Rottler et al. | Jun 2013 | A1 |
| 20130165232 | Nelson et al. | Jun 2013 | A1 |
| 20130166278 | James et al. | Jun 2013 | A1 |
| 20130166303 | Chang et al. | Jun 2013 | A1 |
| 20130166332 | Hammad | Jun 2013 | A1 |
| 20130166442 | Nakajima et al. | Jun 2013 | A1 |
| 20130167242 | Paliwal | Jun 2013 | A1 |
| 20130170738 | Capuozzo et al. | Jul 2013 | A1 |
| 20130172022 | Seymour et al. | Jul 2013 | A1 |
| 20130173258 | Liu et al. | Jul 2013 | A1 |
| 20130173268 | Weng et al. | Jul 2013 | A1 |
| 20130173513 | Chu et al. | Jul 2013 | A1 |
| 20130174034 | Brown et al. | Jul 2013 | A1 |
| 20130176147 | Anderson et al. | Jul 2013 | A1 |
| 20130176244 | Yamamoto et al. | Jul 2013 | A1 |
| 20130176592 | Sasaki | Jul 2013 | A1 |
| 20130179168 | Bae et al. | Jul 2013 | A1 |
| 20130179172 | Nakamura et al. | Jul 2013 | A1 |
| 20130179440 | Gordon | Jul 2013 | A1 |
| 20130183942 | Novick et al. | Jul 2013 | A1 |
| 20130183944 | Mozer et al. | Jul 2013 | A1 |
| 20130185059 | Riccardi | Jul 2013 | A1 |
| 20130185066 | Tzirkel-hancock et al. | Jul 2013 | A1 |
| 20130185074 | Gruber et al. | Jul 2013 | A1 |
| 20130185081 | Cheyer et al. | Jul 2013 | A1 |
| 20130185336 | Singh et al. | Jul 2013 | A1 |
| 20130187850 | Schulz et al. | Jul 2013 | A1 |
| 20130187857 | Griffin et al. | Jul 2013 | A1 |
| 20130190021 | Vieri et al. | Jul 2013 | A1 |
| 20130191117 | Atti et al. | Jul 2013 | A1 |
| 20130191408 | Volkert | Jul 2013 | A1 |
| 20130197911 | Wei et al. | Aug 2013 | A1 |
| 20130197914 | Yelvington et al. | Aug 2013 | A1 |
| 20130198159 | Hendry | Aug 2013 | A1 |
| 20130198841 | Poulson | Aug 2013 | A1 |
| 20130204813 | Master et al. | Aug 2013 | A1 |
| 20130204897 | Mcdougall | Aug 2013 | A1 |
| 20130204967 | Seo et al. | Aug 2013 | A1 |
| 20130207898 | Sullivan et al. | Aug 2013 | A1 |
| 20130210410 | Xu | Aug 2013 | A1 |
| 20130210492 | You et al. | Aug 2013 | A1 |
| 20130218553 | Fujii et al. | Aug 2013 | A1 |
| 20130218560 | Hsiao et al. | Aug 2013 | A1 |
| 20130218574 | Falcon et al. | Aug 2013 | A1 |
| 20130218899 | Raghavan et al. | Aug 2013 | A1 |
| 20130219333 | Palwe et al. | Aug 2013 | A1 |
| 20130222249 | Pasquero et al. | Aug 2013 | A1 |
| 20130225128 | Gomar | Aug 2013 | A1 |
| 20130226935 | Bai et al. | Aug 2013 | A1 |
| 20130231917 | Naik | Sep 2013 | A1 |
| 20130234947 | Kristensson et al. | Sep 2013 | A1 |
| 20130235987 | Arroniz-escobar | Sep 2013 | A1 |
| 20130238326 | Kim et al. | Sep 2013 | A1 |
| 20130238647 | Thompson | Sep 2013 | A1 |
| 20130238729 | Holzman et al. | Sep 2013 | A1 |
| 20130244615 | Miller | Sep 2013 | A1 |
| 20130246048 | Nagase et al. | Sep 2013 | A1 |
| 20130246050 | Yu et al. | Sep 2013 | A1 |
| 20130246329 | Pasquero et al. | Sep 2013 | A1 |
| 20130253911 | Petri et al. | Sep 2013 | A1 |
| 20130253912 | Medlock et al. | Sep 2013 | A1 |
| 20130262168 | Makanawala et al. | Oct 2013 | A1 |
| 20130268263 | Park et al. | Oct 2013 | A1 |
| 20130268956 | Recco | Oct 2013 | A1 |
| 20130275117 | Winer | Oct 2013 | A1 |
| 20130275138 | Gruber et al. | Oct 2013 | A1 |
| 20130275164 | Gruber et al. | Oct 2013 | A1 |
| 20130275199 | Proctor et al. | Oct 2013 | A1 |
| 20130275625 | Taivalsaari et al. | Oct 2013 | A1 |
| 20130275875 | Gruber et al. | Oct 2013 | A1 |
| 20130275899 | Schubert et al. | Oct 2013 | A1 |
| 20130279724 | Stafford et al. | Oct 2013 | A1 |
| 20130282709 | Zhu et al. | Oct 2013 | A1 |
| 20130283168 | Brown et al. | Oct 2013 | A1 |
| 20130283199 | Selig et al. | Oct 2013 | A1 |
| 20130283283 | Wang et al. | Oct 2013 | A1 |
| 20130285913 | Griffin et al. | Oct 2013 | A1 |
| 20130289991 | Eshwar et al. | Oct 2013 | A1 |
| 20130289993 | Rao | Oct 2013 | A1 |
| 20130289994 | Newman et al. | Oct 2013 | A1 |
| 20130291015 | Pan | Oct 2013 | A1 |
| 20130297078 | Kolavennu | Nov 2013 | A1 |
| 20130297198 | Velde et al. | Nov 2013 | A1 |
| 20130297317 | Lee et al. | Nov 2013 | A1 |
| 20130297319 | Kim | Nov 2013 | A1 |
| 20130297348 | Cardoza et al. | Nov 2013 | A1 |
| 20130300645 | Fedorov | Nov 2013 | A1 |
| 20130300648 | Kim et al. | Nov 2013 | A1 |
| 20130303106 | Martin | Nov 2013 | A1 |
| 20130304479 | Teller et al. | Nov 2013 | A1 |
| 20130304758 | Gruber et al. | Nov 2013 | A1 |
| 20130304815 | Puente et al. | Nov 2013 | A1 |
| 20130305119 | Kern et al. | Nov 2013 | A1 |
| 20130307855 | Lamb et al. | Nov 2013 | A1 |
| 20130307997 | O'keefe et al. | Nov 2013 | A1 |
| 20130308922 | Sano et al. | Nov 2013 | A1 |
| 20130311179 | Wagner | Nov 2013 | A1 |
| 20130311184 | Badavne et al. | Nov 2013 | A1 |
| 20130311487 | Moore et al. | Nov 2013 | A1 |
| 20130311997 | Gruber et al. | Nov 2013 | A1 |
| 20130315038 | Ferren et al. | Nov 2013 | A1 |
| 20130316679 | Miller et al. | Nov 2013 | A1 |
| 20130316746 | Miller et al. | Nov 2013 | A1 |
| 20130317921 | Havas | Nov 2013 | A1 |
| 20130318478 | Ogura | Nov 2013 | A1 |
| 20130321267 | Bhatti et al. | Dec 2013 | A1 |
| 20130322634 | Bennett et al. | Dec 2013 | A1 |
| 20130322665 | Bennett et al. | Dec 2013 | A1 |
| 20130325340 | Forstall et al. | Dec 2013 | A1 |
| 20130325436 | Wang et al. | Dec 2013 | A1 |
| 20130325443 | Begeja et al. | Dec 2013 | A1 |
| 20130325447 | Levien et al. | Dec 2013 | A1 |
| 20130325448 | Levien et al. | Dec 2013 | A1 |
| 20130325480 | Lee et al. | Dec 2013 | A1 |
| 20130325481 | Van Os et al. | Dec 2013 | A1 |
| 20130325484 | Chakladar et al. | Dec 2013 | A1 |
| 20130325967 | Parks et al. | Dec 2013 | A1 |
| 20130325970 | Roberts et al. | Dec 2013 | A1 |
| 20130325979 | Mansfield et al. | Dec 2013 | A1 |
| 20130328809 | Smith | Dec 2013 | A1 |
| 20130329023 | Suplee, III et al. | Dec 2013 | A1 |
| 20130331127 | Sabatelli et al. | Dec 2013 | A1 |
| 20130332159 | Federighi et al. | Dec 2013 | A1 |
| 20130332162 | Keen | Dec 2013 | A1 |
| 20130332164 | Nalk | Dec 2013 | A1 |
| 20130332168 | Kim et al. | Dec 2013 | A1 |
| 20130332172 | Prakash et al. | Dec 2013 | A1 |
| 20130332400 | González | Dec 2013 | A1 |
| 20130332538 | Clark et al. | Dec 2013 | A1 |
| 20130339256 | Shroff | Dec 2013 | A1 |
| 20130339454 | Walker et al. | Dec 2013 | A1 |
| 20130339991 | Ricci | Dec 2013 | A1 |
| 20130342672 | Gray et al. | Dec 2013 | A1 |
| 20130343584 | Bennett et al. | Dec 2013 | A1 |
| 20130343721 | Abecassis | Dec 2013 | A1 |
| 20130346065 | Davidson et al. | Dec 2013 | A1 |
| 20130346068 | Solem et al. | Dec 2013 | A1 |
| 20130346347 | Patterson et al. | Dec 2013 | A1 |
| 20130347018 | Limp et al. | Dec 2013 | A1 |
| 20130347029 | Tang et al. | Dec 2013 | A1 |
| 20130347102 | Shi | Dec 2013 | A1 |
| 20130347117 | Parks et al. | Dec 2013 | A1 |
| 20140001255 | Anthoine | Jan 2014 | A1 |
| 20140006012 | Zhou et al. | Jan 2014 | A1 |
| 20140006025 | Krishnan et al. | Jan 2014 | A1 |
| 20140006027 | Kim et al. | Jan 2014 | A1 |
| 20140006030 | Fleizach et al. | Jan 2014 | A1 |
| 20140006153 | Thangam et al. | Jan 2014 | A1 |
| 20140006483 | Garmark et al. | Jan 2014 | A1 |
| 20140006496 | Dearman et al. | Jan 2014 | A1 |
| 20140006562 | Handa et al. | Jan 2014 | A1 |
| 20140006947 | Garmark | Jan 2014 | A1 |
| 20140006955 | Greenzeiger et al. | Jan 2014 | A1 |
| 20140008163 | Mikonaho et al. | Jan 2014 | A1 |
| 20140012574 | Pasupalak et al. | Jan 2014 | A1 |
| 20140012580 | Ganong, III et al. | Jan 2014 | A1 |
| 20140012586 | Rubin et al. | Jan 2014 | A1 |
| 20140012587 | Park | Jan 2014 | A1 |
| 20140019116 | Lundberg et al. | Jan 2014 | A1 |
| 20140019133 | Bao et al. | Jan 2014 | A1 |
| 20140019460 | Sambrani et al. | Jan 2014 | A1 |
| 20140028029 | Jochman | Jan 2014 | A1 |
| 20140028477 | Michalske | Jan 2014 | A1 |
| 20140028735 | Williams et al. | Jan 2014 | A1 |
| 20140032453 | Eustice et al. | Jan 2014 | A1 |
| 20140033071 | Gruber et al. | Jan 2014 | A1 |
| 20140035823 | Khoe et al. | Feb 2014 | A1 |
| 20140037075 | Bouzid et al. | Feb 2014 | A1 |
| 20140039888 | Taubman et al. | Feb 2014 | A1 |
| 20140039893 | Weiner et al. | Feb 2014 | A1 |
| 20140039894 | Shostak | Feb 2014 | A1 |
| 20140040274 | Aravamudan et al. | Feb 2014 | A1 |
| 20140040748 | Lemay et al. | Feb 2014 | A1 |
| 20140040754 | Donelli | Feb 2014 | A1 |
| 20140040801 | Patel et al. | Feb 2014 | A1 |
| 20140040918 | Li | Feb 2014 | A1 |
| 20140040961 | Green et al. | Feb 2014 | A1 |
| 20140046934 | Zhou et al. | Feb 2014 | A1 |
| 20140047001 | Phillips et al. | Feb 2014 | A1 |
| 20140052451 | Cheong et al. | Feb 2014 | A1 |
| 20140052680 | Nitz et al. | Feb 2014 | A1 |
| 20140052791 | Chakra et al. | Feb 2014 | A1 |
| 20140053082 | Park | Feb 2014 | A1 |
| 20140053101 | Buehler et al. | Feb 2014 | A1 |
| 20140053210 | Cheong et al. | Feb 2014 | A1 |
| 20140057610 | Olincy et al. | Feb 2014 | A1 |
| 20140059030 | Hakkani-tur et al. | Feb 2014 | A1 |
| 20140067361 | Nikoulina et al. | Mar 2014 | A1 |
| 20140067371 | Liensberger | Mar 2014 | A1 |
| 20140067402 | Kim | Mar 2014 | A1 |
| 20140067738 | Kingsbury | Mar 2014 | A1 |
| 20140068751 | Last | Mar 2014 | A1 |
| 20140074454 | Brown et al. | Mar 2014 | A1 |
| 20140074466 | Sharifi et al. | Mar 2014 | A1 |
| 20140074470 | Jansche et al. | Mar 2014 | A1 |
| 20140074472 | Lin et al. | Mar 2014 | A1 |
| 20140074483 | Van Os | Mar 2014 | A1 |
| 20140074589 | Nielsen et al. | Mar 2014 | A1 |
| 20140074815 | Plimton | Mar 2014 | A1 |
| 20140075453 | Bellessort et al. | Mar 2014 | A1 |
| 20140078065 | Akkok | Mar 2014 | A1 |
| 20140079195 | Srivastava et al. | Mar 2014 | A1 |
| 20140080410 | Jung et al. | Mar 2014 | A1 |
| 20140080428 | Rhoads et al. | Mar 2014 | A1 |
| 20140081619 | Solntseva et al. | Mar 2014 | A1 |
| 20140081633 | Badaskar | Mar 2014 | A1 |
| 20140081635 | Yanagihara | Mar 2014 | A1 |
| 20140081829 | Milne | Mar 2014 | A1 |
| 20140081941 | Bai et al. | Mar 2014 | A1 |
| 20140082500 | Wilensky et al. | Mar 2014 | A1 |
| 20140082501 | Bae et al. | Mar 2014 | A1 |
| 20140082715 | Grajek et al. | Mar 2014 | A1 |
| 20140086458 | Rogers | Mar 2014 | A1 |
| 20140087711 | Geyer et al. | Mar 2014 | A1 |
| 20140088952 | Fife et al. | Mar 2014 | A1 |
| 20140088961 | Woodward et al. | Mar 2014 | A1 |
| 20140088964 | Bellegarda | Mar 2014 | A1 |
| 20140088970 | Kang | Mar 2014 | A1 |
| 20140095171 | Lynch et al. | Apr 2014 | A1 |
| 20140095172 | Cabaco et al. | Apr 2014 | A1 |
| 20140095173 | Lynch et al. | Apr 2014 | A1 |
| 20140095601 | Abuelsaad et al. | Apr 2014 | A1 |
| 20140095965 | Li | Apr 2014 | A1 |
| 20140096209 | Saraf et al. | Apr 2014 | A1 |
| 20140098247 | Rao et al. | Apr 2014 | A1 |
| 20140100847 | Ishii et al. | Apr 2014 | A1 |
| 20140101127 | Simhon et al. | Apr 2014 | A1 |
| 20140104175 | Ouyang et al. | Apr 2014 | A1 |
| 20140108017 | Mason et al. | Apr 2014 | A1 |
| 20140108391 | Volkert | Apr 2014 | A1 |
| 20140112556 | Kalinli-akbacak | Apr 2014 | A1 |
| 20140114554 | Lagassey | Apr 2014 | A1 |
| 20140115062 | Liu et al. | Apr 2014 | A1 |
| 20140115114 | Garmark et al. | Apr 2014 | A1 |
| 20140118155 | Bowers et al. | May 2014 | A1 |
| 20140118624 | Jang et al. | May 2014 | A1 |
| 20140122059 | Patel et al. | May 2014 | A1 |
| 20140122085 | Piety et al. | May 2014 | A1 |
| 20140122086 | Kapur et al. | May 2014 | A1 |
| 20140122136 | Jayanthi | May 2014 | A1 |
| 20140122153 | Truitt | May 2014 | A1 |
| 20140129226 | Lee et al. | May 2014 | A1 |
| 20140132935 | Kim et al. | May 2014 | A1 |
| 20140134983 | Jung et al. | May 2014 | A1 |
| 20140135036 | Bonanni et al. | May 2014 | A1 |
| 20140136013 | Wolverton et al. | May 2014 | A1 |
| 20140136187 | Wolverton et al. | May 2014 | A1 |
| 20140136195 | Abdossalami et al. | May 2014 | A1 |
| 20140136212 | Kwon et al. | May 2014 | A1 |
| 20140136946 | Matas | May 2014 | A1 |
| 20140136987 | Rodriguez | May 2014 | A1 |
| 20140142922 | Liang et al. | May 2014 | A1 |
| 20140142923 | Jones et al. | May 2014 | A1 |
| 20140142935 | Lindahl et al. | May 2014 | A1 |
| 20140142953 | Kim et al. | May 2014 | A1 |
| 20140143550 | Ganong, III et al. | May 2014 | A1 |
| 20140143721 | Suzuki et al. | May 2014 | A1 |
| 20140146200 | Scott et al. | May 2014 | A1 |
| 20140149118 | Lee et al. | May 2014 | A1 |
| 20140152577 | Yuen et al. | Jun 2014 | A1 |
| 20140153709 | Byrd et al. | Jun 2014 | A1 |
| 20140155031 | Lee et al. | Jun 2014 | A1 |
| 20140156262 | Yuen et al. | Jun 2014 | A1 |
| 20140156279 | Okamoto et al. | Jun 2014 | A1 |
| 20140157319 | Kimura et al. | Jun 2014 | A1 |
| 20140157422 | Livshits et al. | Jun 2014 | A1 |
| 20140163951 | Nikoulina et al. | Jun 2014 | A1 |
| 20140163953 | Parikh | Jun 2014 | A1 |
| 20140163954 | Joshi et al. | Jun 2014 | A1 |
| 20140163962 | Castelli et al. | Jun 2014 | A1 |
| 20140163976 | Park et al. | Jun 2014 | A1 |
| 20140163977 | Hoffmeister et al. | Jun 2014 | A1 |
| 20140163981 | Cook et al. | Jun 2014 | A1 |
| 20140163995 | Burns et al. | Jun 2014 | A1 |
| 20140164305 | Lynch et al. | Jun 2014 | A1 |
| 20140164312 | Lynch et al. | Jun 2014 | A1 |
| 20140164476 | Thomson | Jun 2014 | A1 |
| 20140164508 | Lynch et al. | Jun 2014 | A1 |
| 20140164532 | Lynch et al. | Jun 2014 | A1 |
| 20140164533 | Lynch et al. | Jun 2014 | A1 |
| 20140164953 | Lynch et al. | Jun 2014 | A1 |
| 20140169795 | Clough | Jun 2014 | A1 |
| 20140171064 | Das | Jun 2014 | A1 |
| 20140172878 | Clark et al. | Jun 2014 | A1 |
| 20140173460 | Kim | Jun 2014 | A1 |
| 20140176814 | Ahn | Jun 2014 | A1 |
| 20140179295 | Luebbers et al. | Jun 2014 | A1 |
| 20140180499 | Cooper et al. | Jun 2014 | A1 |
| 20140180689 | Kim | Jun 2014 | A1 |
| 20140180697 | Torok et al. | Jun 2014 | A1 |
| 20140181865 | Koganei | Jun 2014 | A1 |
| 20140188460 | Ouyang et al. | Jul 2014 | A1 |
| 20140188477 | Zhang | Jul 2014 | A1 |
| 20140188478 | Zhang | Jul 2014 | A1 |
| 20140188485 | Kim et al. | Jul 2014 | A1 |
| 20140188835 | Zhang et al. | Jul 2014 | A1 |
| 20140195226 | Yun et al. | Jul 2014 | A1 |
| 20140195230 | Han et al. | Jul 2014 | A1 |
| 20140195233 | Bapat et al. | Jul 2014 | A1 |
| 20140195244 | Cha et al. | Jul 2014 | A1 |
| 20140195251 | Zeinstra et al. | Jul 2014 | A1 |
| 20140195252 | Gruber et al. | Jul 2014 | A1 |
| 20140198048 | Unruh et al. | Jul 2014 | A1 |
| 20140203939 | Harrington et al. | Jul 2014 | A1 |
| 20140205076 | Kumar et al. | Jul 2014 | A1 |
| 20140207439 | Venkatapathy et al. | Jul 2014 | A1 |
| 20140207446 | Klein et al. | Jul 2014 | A1 |
| 20140207447 | Jiang et al. | Jul 2014 | A1 |
| 20140207466 | Smadi | Jul 2014 | A1 |
| 20140207468 | Bartnik | Jul 2014 | A1 |
| 20140207582 | Flinn et al. | Jul 2014 | A1 |
| 20140211944 | Hayward et al. | Jul 2014 | A1 |
| 20140214429 | Pantel | Jul 2014 | A1 |
| 20140214537 | Yoo et al. | Jul 2014 | A1 |
| 20140215513 | Ramer et al. | Jul 2014 | A1 |
| 20140218372 | Missig et al. | Aug 2014 | A1 |
| 20140222435 | Li et al. | Aug 2014 | A1 |
| 20140222436 | Binder et al. | Aug 2014 | A1 |
| 20140222678 | Sheets et al. | Aug 2014 | A1 |
| 20140222967 | Harrang et al. | Aug 2014 | A1 |
| 20140223377 | Shaw et al. | Aug 2014 | A1 |
| 20140223481 | Fundament | Aug 2014 | A1 |
| 20140226503 | Cooper et al. | Aug 2014 | A1 |
| 20140229158 | Zweig et al. | Aug 2014 | A1 |
| 20140229184 | Shires | Aug 2014 | A1 |
| 20140230055 | Boehl | Aug 2014 | A1 |
| 20140232570 | Skinder et al. | Aug 2014 | A1 |
| 20140232656 | Pasquero et al. | Aug 2014 | A1 |
| 20140236595 | Gray | Aug 2014 | A1 |
| 20140236986 | Guzman | Aug 2014 | A1 |
| 20140237042 | Ahmed et al. | Aug 2014 | A1 |
| 20140237366 | Poulos et al. | Aug 2014 | A1 |
| 20140244248 | Arisoy et al. | Aug 2014 | A1 |
| 20140244249 | Mohamed et al. | Aug 2014 | A1 |
| 20140244254 | Ju et al. | Aug 2014 | A1 |
| 20140244257 | Colibro et al. | Aug 2014 | A1 |
| 20140244258 | Song et al. | Aug 2014 | A1 |
| 20140244263 | Pontual et al. | Aug 2014 | A1 |
| 20140244266 | Brown et al. | Aug 2014 | A1 |
| 20140244268 | Abdelsamie et al. | Aug 2014 | A1 |
| 20140244270 | Han et al. | Aug 2014 | A1 |
| 20140244271 | Lindahl | Aug 2014 | A1 |
| 20140244712 | Walters et al. | Aug 2014 | A1 |
| 20140245140 | Brown et al. | Aug 2014 | A1 |
| 20140247383 | Dave et al. | Sep 2014 | A1 |
| 20140247926 | Gainsboro et al. | Sep 2014 | A1 |
| 20140249812 | Bou-Ghazale et al. | Sep 2014 | A1 |
| 20140249816 | Pickering et al. | Sep 2014 | A1 |
| 20140249817 | Hart et al. | Sep 2014 | A1 |
| 20140249820 | Hsu et al. | Sep 2014 | A1 |
| 20140249821 | Kennewick et al. | Sep 2014 | A1 |
| 20140250046 | Winn et al. | Sep 2014 | A1 |
| 20140257809 | Goel et al. | Sep 2014 | A1 |
| 20140257815 | Zhao et al. | Sep 2014 | A1 |
| 20140257902 | Moore et al. | Sep 2014 | A1 |
| 20140258324 | Mauro et al. | Sep 2014 | A1 |
| 20140258357 | Singh et al. | Sep 2014 | A1 |
| 20140258857 | Dykstra-erickson et al. | Sep 2014 | A1 |
| 20140258905 | Lee et al. | Sep 2014 | A1 |
| 20140267022 | Kim | Sep 2014 | A1 |
| 20140267599 | Drouin et al. | Sep 2014 | A1 |
| 20140267933 | Young | Sep 2014 | A1 |
| 20140272821 | Pitschel et al. | Sep 2014 | A1 |
| 20140273979 | Van Os et al. | Sep 2014 | A1 |
| 20140274005 | Luna et al. | Sep 2014 | A1 |
| 20140274203 | Ganong, III et al. | Sep 2014 | A1 |
| 20140274211 | Sejnoha et al. | Sep 2014 | A1 |
| 20140278051 | Mcgavran et al. | Sep 2014 | A1 |
| 20140278343 | Tran | Sep 2014 | A1 |
| 20140278349 | Grieves et al. | Sep 2014 | A1 |
| 20140278379 | Coccaro et al. | Sep 2014 | A1 |
| 20140278390 | Kingsbury et al. | Sep 2014 | A1 |
| 20140278391 | Braho et al. | Sep 2014 | A1 |
| 20140278394 | Bastyr et al. | Sep 2014 | A1 |
| 20140278406 | Tsumura et al. | Sep 2014 | A1 |
| 20140278413 | Pitschel et al. | Sep 2014 | A1 |
| 20140278426 | Jost et al. | Sep 2014 | A1 |
| 20140278429 | Ganong, III | Sep 2014 | A1 |
| 20140278435 | Ganong, III et al. | Sep 2014 | A1 |
| 20140278436 | Khanna et al. | Sep 2014 | A1 |
| 20140278438 | Hart et al. | Sep 2014 | A1 |
| 20140278443 | Gunn et al. | Sep 2014 | A1 |
| 20140278444 | Larson et al. | Sep 2014 | A1 |
| 20140278513 | Prakash et al. | Sep 2014 | A1 |
| 20140279622 | Lamoureux et al. | Sep 2014 | A1 |
| 20140279739 | Elkington et al. | Sep 2014 | A1 |
| 20140279787 | Cheng et al. | Sep 2014 | A1 |
| 20140280072 | Coleman | Sep 2014 | A1 |
| 20140280107 | Heymans et al. | Sep 2014 | A1 |
| 20140280138 | Li et al. | Sep 2014 | A1 |
| 20140280292 | Skinder | Sep 2014 | A1 |
| 20140280353 | Delaney et al. | Sep 2014 | A1 |
| 20140280450 | Luna | Sep 2014 | A1 |
| 20140281944 | Winer | Sep 2014 | A1 |
| 20140281983 | Xian et al. | Sep 2014 | A1 |
| 20140281997 | Fleizach et al. | Sep 2014 | A1 |
| 20140282003 | Gruber et al. | Sep 2014 | A1 |
| 20140282007 | Fleizach | Sep 2014 | A1 |
| 20140282045 | Ayanam et al. | Sep 2014 | A1 |
| 20140282178 | Borzello et al. | Sep 2014 | A1 |
| 20140282201 | Pasquero et al. | Sep 2014 | A1 |
| 20140282203 | Pasquero et al. | Sep 2014 | A1 |
| 20140282559 | Verduzco et al. | Sep 2014 | A1 |
| 20140282586 | Shear et al. | Sep 2014 | A1 |
| 20140282743 | Howard et al. | Sep 2014 | A1 |
| 20140288990 | Moore et al. | Sep 2014 | A1 |
| 20140289508 | Wang | Sep 2014 | A1 |
| 20140297267 | Spencer et al. | Oct 2014 | A1 |
| 20140297281 | Togawa et al. | Oct 2014 | A1 |
| 20140297284 | Gruber et al. | Oct 2014 | A1 |
| 20140297288 | Yu et al. | Oct 2014 | A1 |
| 20140298395 | Yang et al. | Oct 2014 | A1 |
| 20140304086 | Dasdan et al. | Oct 2014 | A1 |
| 20140304605 | Ohmura et al. | Oct 2014 | A1 |
| 20140309990 | Gandrabur et al. | Oct 2014 | A1 |
| 20140309996 | Zhang | Oct 2014 | A1 |
| 20140310001 | Kalns et al. | Oct 2014 | A1 |
| 20140310002 | Nitz et al. | Oct 2014 | A1 |
| 20140310348 | Keskitalo et al. | Oct 2014 | A1 |
| 20140310365 | Sample et al. | Oct 2014 | A1 |
| 20140310595 | Acharya et al. | Oct 2014 | A1 |
| 20140313007 | Harding | Oct 2014 | A1 |
| 20140315492 | Woods | Oct 2014 | A1 |
| 20140316585 | Boesveld et al. | Oct 2014 | A1 |
| 20140317030 | Shen et al. | Oct 2014 | A1 |
| 20140317502 | Brown et al. | Oct 2014 | A1 |
| 20140324429 | Weilhammer et al. | Oct 2014 | A1 |
| 20140324884 | Lindahl et al. | Oct 2014 | A1 |
| 20140330569 | Kolavennu et al. | Nov 2014 | A1 |
| 20140330951 | Sukoff et al. | Nov 2014 | A1 |
| 20140335823 | Heredia et al. | Nov 2014 | A1 |
| 20140337037 | Chi | Nov 2014 | A1 |
| 20140337048 | Brown et al. | Nov 2014 | A1 |
| 20140337266 | Wolverton et al. | Nov 2014 | A1 |
| 20140337370 | Aravamudan et al. | Nov 2014 | A1 |
| 20140337371 | Li | Nov 2014 | A1 |
| 20140337438 | Govande et al. | Nov 2014 | A1 |
| 20140337621 | Nakhimov | Nov 2014 | A1 |
| 20140337751 | Lim et al. | Nov 2014 | A1 |
| 20140337814 | Kalns et al. | Nov 2014 | A1 |
| 20140342762 | Hajdu et al. | Nov 2014 | A1 |
| 20140343834 | Demerchant et al. | Nov 2014 | A1 |
| 20140343943 | Al-telmissani | Nov 2014 | A1 |
| 20140343946 | Torok et al. | Nov 2014 | A1 |
| 20140344205 | Luna et al. | Nov 2014 | A1 |
| 20140344627 | Schaub et al. | Nov 2014 | A1 |
| 20140344687 | Durham et al. | Nov 2014 | A1 |
| 20140347181 | Luna et al. | Nov 2014 | A1 |
| 20140350847 | Ichinokawa | Nov 2014 | A1 |
| 20140350924 | Zurek et al. | Nov 2014 | A1 |
| 20140350933 | Bak et al. | Nov 2014 | A1 |
| 20140351741 | Medlock et al. | Nov 2014 | A1 |
| 20140351760 | Skory et al. | Nov 2014 | A1 |
| 20140358519 | Mirkin et al. | Dec 2014 | A1 |
| 20140358523 | Sheth et al. | Dec 2014 | A1 |
| 20140358549 | O'connor et al. | Dec 2014 | A1 |
| 20140359637 | Yan | Dec 2014 | A1 |
| 20140359709 | Nassar et al. | Dec 2014 | A1 |
| 20140361973 | Raux et al. | Dec 2014 | A1 |
| 20140363074 | Dolfing et al. | Dec 2014 | A1 |
| 20140364149 | Marti et al. | Dec 2014 | A1 |
| 20140365209 | Evermann | Dec 2014 | A1 |
| 20140365214 | Bayley | Dec 2014 | A1 |
| 20140365216 | Gruber et al. | Dec 2014 | A1 |
| 20140365226 | Sinha | Dec 2014 | A1 |
| 20140365227 | Cash et al. | Dec 2014 | A1 |
| 20140365407 | Brown et al. | Dec 2014 | A1 |
| 20140365505 | Clark et al. | Dec 2014 | A1 |
| 20140365880 | Bellegarda | Dec 2014 | A1 |
| 20140365885 | Carson et al. | Dec 2014 | A1 |
| 20140365895 | Magahern et al. | Dec 2014 | A1 |
| 20140365922 | Yang | Dec 2014 | A1 |
| 20140365945 | Karunamuni et al. | Dec 2014 | A1 |
| 20140370817 | Luna | Dec 2014 | A1 |
| 20140370841 | Roberts et al. | Dec 2014 | A1 |
| 20140372112 | Xue et al. | Dec 2014 | A1 |
| 20140372356 | Bilal et al. | Dec 2014 | A1 |
| 20140372468 | Collins et al. | Dec 2014 | A1 |
| 20140372931 | Zhai et al. | Dec 2014 | A1 |
| 20140379334 | Fry | Dec 2014 | A1 |
| 20140379341 | Seo et al. | Dec 2014 | A1 |
| 20140379798 | Bunner et al. | Dec 2014 | A1 |
| 20140380285 | Gabel et al. | Dec 2014 | A1 |
| 20150003797 | Schmidt | Jan 2015 | A1 |
| 20150004958 | Wang et al. | Jan 2015 | A1 |
| 20150006148 | Goldszmit et al. | Jan 2015 | A1 |
| 20150006157 | Silva et al. | Jan 2015 | A1 |
| 20150006167 | Kato et al. | Jan 2015 | A1 |
| 20150006176 | Pogue et al. | Jan 2015 | A1 |
| 20150006178 | Peng et al. | Jan 2015 | A1 |
| 20150006184 | Marti et al. | Jan 2015 | A1 |
| 20150006199 | Snider et al. | Jan 2015 | A1 |
| 20150012271 | Peng et al. | Jan 2015 | A1 |
| 20150019219 | Tzirkel-hancock et al. | Jan 2015 | A1 |
| 20150019221 | Lee et al. | Jan 2015 | A1 |
| 20150019944 | Kalgi | Jan 2015 | A1 |
| 20150019974 | Doi et al. | Jan 2015 | A1 |
| 20150025405 | Vairavan et al. | Jan 2015 | A1 |
| 20150026620 | Kwon et al. | Jan 2015 | A1 |
| 20150027178 | Scalisi | Jan 2015 | A1 |
| 20150031416 | Labowicz et al. | Jan 2015 | A1 |
| 20150032443 | Karov et al. | Jan 2015 | A1 |
| 20150033219 | Breiner et al. | Jan 2015 | A1 |
| 20150033275 | Natani et al. | Jan 2015 | A1 |
| 20150034855 | Shen | Feb 2015 | A1 |
| 20150038161 | Jakobson et al. | Feb 2015 | A1 |
| 20150039292 | Suleman et al. | Feb 2015 | A1 |
| 20150039295 | Soschen | Feb 2015 | A1 |
| 20150039299 | Weinstein et al. | Feb 2015 | A1 |
| 20150039305 | Huang | Feb 2015 | A1 |
| 20150039606 | Salaka et al. | Feb 2015 | A1 |
| 20150040012 | Faaborg et al. | Feb 2015 | A1 |
| 20150045003 | Vora et al. | Feb 2015 | A1 |
| 20150045007 | Cash | Feb 2015 | A1 |
| 20150045068 | Soffer et al. | Feb 2015 | A1 |
| 20150046434 | Lim et al. | Feb 2015 | A1 |
| 20150046537 | Rakib | Feb 2015 | A1 |
| 20150046828 | Desai et al. | Feb 2015 | A1 |
| 20150050633 | Christmas et al. | Feb 2015 | A1 |
| 20150050923 | Tu et al. | Feb 2015 | A1 |
| 20150051754 | Kwon et al. | Feb 2015 | A1 |
| 20150053779 | Adamek et al. | Feb 2015 | A1 |
| 20150053781 | Nelson et al. | Feb 2015 | A1 |
| 20150055879 | Yang | Feb 2015 | A1 |
| 20150058013 | Pakhomov et al. | Feb 2015 | A1 |
| 20150058018 | Georges et al. | Feb 2015 | A1 |
| 20150058720 | Smadja et al. | Feb 2015 | A1 |
| 20150058785 | Ookawara | Feb 2015 | A1 |
| 20150065149 | Russell et al. | Mar 2015 | A1 |
| 20150065200 | Namgung et al. | Mar 2015 | A1 |
| 20150066494 | Salvador et al. | Mar 2015 | A1 |
| 20150066496 | Deoras et al. | Mar 2015 | A1 |
| 20150066506 | Romano et al. | Mar 2015 | A1 |
| 20150066516 | Nishikawa et al. | Mar 2015 | A1 |
| 20150066817 | Slayton et al. | Mar 2015 | A1 |
| 20150067485 | Kim et al. | Mar 2015 | A1 |
| 20150067822 | Randall | Mar 2015 | A1 |
| 20150071121 | Patil et al. | Mar 2015 | A1 |
| 20150073788 | Sak et al. | Mar 2015 | A1 |
| 20150073804 | Senior et al. | Mar 2015 | A1 |
| 20150074524 | Nicholson et al. | Mar 2015 | A1 |
| 20150074615 | Han et al. | Mar 2015 | A1 |
| 20150081295 | Yun et al. | Mar 2015 | A1 |
| 20150082229 | Ouyang et al. | Mar 2015 | A1 |
| 20150086174 | Abecassis et al. | Mar 2015 | A1 |
| 20150088511 | Bharadwaj et al. | Mar 2015 | A1 |
| 20150088514 | Typrin | Mar 2015 | A1 |
| 20150088518 | Kim et al. | Mar 2015 | A1 |
| 20150088522 | Hendrickson et al. | Mar 2015 | A1 |
| 20150088523 | Schuster | Mar 2015 | A1 |
| 20150088998 | Isensee et al. | Mar 2015 | A1 |
| 20150092520 | Robison et al. | Apr 2015 | A1 |
| 20150094834 | Vega et al. | Apr 2015 | A1 |
| 20150095031 | Conkie et al. | Apr 2015 | A1 |
| 20150095268 | Greenzeiger et al. | Apr 2015 | A1 |
| 20150095278 | Flinn et al. | Apr 2015 | A1 |
| 20150100144 | Lee et al. | Apr 2015 | A1 |
| 20150100313 | Sharma | Apr 2015 | A1 |
| 20150100316 | Williams et al. | Apr 2015 | A1 |
| 20150100537 | Grieves et al. | Apr 2015 | A1 |
| 20150100983 | Pan | Apr 2015 | A1 |
| 20150106093 | Weeks et al. | Apr 2015 | A1 |
| 20150106737 | Montoy-Wilson et al. | Apr 2015 | A1 |
| 20150113407 | Hoffert et al. | Apr 2015 | A1 |
| 20150113435 | Phillips | Apr 2015 | A1 |
| 20150120296 | Stern et al. | Apr 2015 | A1 |
| 20150120641 | Soon-shiong et al. | Apr 2015 | A1 |
| 20150120723 | Deshmukh et al. | Apr 2015 | A1 |
| 20150121216 | Brown et al. | Apr 2015 | A1 |
| 20150123898 | Kim et al. | May 2015 | A1 |
| 20150127337 | Heigold et al. | May 2015 | A1 |
| 20150127348 | Follis | May 2015 | A1 |
| 20150127350 | Agiomyrgiannakis | May 2015 | A1 |
| 20150133049 | Lee et al. | May 2015 | A1 |
| 20150133109 | Freeman et al. | May 2015 | A1 |
| 20150134318 | Cuthbert et al. | May 2015 | A1 |
| 20150134322 | Cuthbert et al. | May 2015 | A1 |
| 20150134334 | Sachidanandam et al. | May 2015 | A1 |
| 20150135085 | Shoham et al. | May 2015 | A1 |
| 20150135123 | Carr et al. | May 2015 | A1 |
| 20150140934 | Abdurrahman et al. | May 2015 | A1 |
| 20150141150 | Zha | May 2015 | A1 |
| 20150142420 | Sarikaya et al. | May 2015 | A1 |
| 20150142438 | Dai et al. | May 2015 | A1 |
| 20150142447 | Kennewick et al. | May 2015 | A1 |
| 20150142851 | Gupta et al. | May 2015 | A1 |
| 20150143419 | Bhagwat et al. | May 2015 | A1 |
| 20150148013 | Baldwin et al. | May 2015 | A1 |
| 20150149177 | Kalns et al. | May 2015 | A1 |
| 20150149182 | Kalns et al. | May 2015 | A1 |
| 20150149354 | Mccoy | May 2015 | A1 |
| 20150149469 | Xu et al. | May 2015 | A1 |
| 20150149899 | Bernstein et al. | May 2015 | A1 |
| 20150149964 | Bernstein et al. | May 2015 | A1 |
| 20150154001 | Knox et al. | Jun 2015 | A1 |
| 20150154185 | Waibel | Jun 2015 | A1 |
| 20150154976 | Mutagi | Jun 2015 | A1 |
| 20150160855 | Bi | Jun 2015 | A1 |
| 20150161291 | Gur et al. | Jun 2015 | A1 |
| 20150161370 | North et al. | Jun 2015 | A1 |
| 20150161521 | Shah et al. | Jun 2015 | A1 |
| 20150161989 | Hsu et al. | Jun 2015 | A1 |
| 20150162001 | Kar et al. | Jun 2015 | A1 |
| 20150162006 | Kummer | Jun 2015 | A1 |
| 20150163558 | Wheatley | Jun 2015 | A1 |
| 20150169081 | Neels et al. | Jun 2015 | A1 |
| 20150169284 | Quast et al. | Jun 2015 | A1 |
| 20150169336 | Harper et al. | Jun 2015 | A1 |
| 20150169696 | Krishnappa et al. | Jun 2015 | A1 |
| 20150170073 | Baker | Jun 2015 | A1 |
| 20150170664 | Doherty et al. | Jun 2015 | A1 |
| 20150172262 | Ortiz, Jr. et al. | Jun 2015 | A1 |
| 20150172463 | Quast et al. | Jun 2015 | A1 |
| 20150178388 | Winnemoeller et al. | Jun 2015 | A1 |
| 20150178785 | Salonen | Jun 2015 | A1 |
| 20150179176 | Ryu et al. | Jun 2015 | A1 |
| 20150181285 | Zhang et al. | Jun 2015 | A1 |
| 20150185964 | Stout | Jul 2015 | A1 |
| 20150185996 | Brown et al. | Jul 2015 | A1 |
| 20150186012 | Coleman et al. | Jul 2015 | A1 |
| 20150186110 | Kannan | Jul 2015 | A1 |
| 20150186154 | Brown et al. | Jul 2015 | A1 |
| 20150186155 | Brown et al. | Jul 2015 | A1 |
| 20150186156 | Brown et al. | Jul 2015 | A1 |
| 20150186351 | Hicks et al. | Jul 2015 | A1 |
| 20150186538 | Yan et al. | Jul 2015 | A1 |
| 20150186783 | Byrne et al. | Jul 2015 | A1 |
| 20150187355 | Parkinson et al. | Jul 2015 | A1 |
| 20150187369 | Dadu et al. | Jul 2015 | A1 |
| 20150189362 | Lee et al. | Jul 2015 | A1 |
| 20150193379 | Mehta | Jul 2015 | A1 |
| 20150193391 | Khvostichenko et al. | Jul 2015 | A1 |
| 20150193392 | Greenblatt et al. | Jul 2015 | A1 |
| 20150194152 | Katuri et al. | Jul 2015 | A1 |
| 20150194165 | Faaborg et al. | Jul 2015 | A1 |
| 20150195379 | Zhang et al. | Jul 2015 | A1 |
| 20150195606 | Mcdevitt | Jul 2015 | A1 |
| 20150199077 | Zuger et al. | Jul 2015 | A1 |
| 20150199960 | Huo et al. | Jul 2015 | A1 |
| 20150199965 | Leak et al. | Jul 2015 | A1 |
| 20150199967 | Reddy et al. | Jul 2015 | A1 |
| 20150201064 | Bells et al. | Jul 2015 | A1 |
| 20150201077 | Konig et al. | Jul 2015 | A1 |
| 20150205425 | Kuscher et al. | Jul 2015 | A1 |
| 20150205568 | Matsuoka | Jul 2015 | A1 |
| 20150205858 | Xie et al. | Jul 2015 | A1 |
| 20150206529 | Kwon et al. | Jul 2015 | A1 |
| 20150208226 | Kuusilinna et al. | Jul 2015 | A1 |
| 20150212791 | Kumar et al. | Jul 2015 | A1 |
| 20150213140 | Volkert | Jul 2015 | A1 |
| 20150213796 | Waltermann et al. | Jul 2015 | A1 |
| 20150215258 | Nowakowski et al. | Jul 2015 | A1 |
| 20150215350 | Slayton et al. | Jul 2015 | A1 |
| 20150220264 | Lewis et al. | Aug 2015 | A1 |
| 20150220507 | Mohajer et al. | Aug 2015 | A1 |
| 20150220715 | Kim et al. | Aug 2015 | A1 |
| 20150220972 | Subramanya et al. | Aug 2015 | A1 |
| 20150221304 | Stewart | Aug 2015 | A1 |
| 20150221307 | Shah et al. | Aug 2015 | A1 |
| 20150222586 | Ebersman et al. | Aug 2015 | A1 |
| 20150227505 | Morimoto | Aug 2015 | A1 |
| 20150227633 | Shapira | Aug 2015 | A1 |
| 20150228274 | Leppanen et al. | Aug 2015 | A1 |
| 20150228275 | Watanabe et al. | Aug 2015 | A1 |
| 20150228281 | Raniere | Aug 2015 | A1 |
| 20150228283 | Ehsani et al. | Aug 2015 | A1 |
| 20150228292 | Goldstein et al. | Aug 2015 | A1 |
| 20150230095 | Smith et al. | Aug 2015 | A1 |
| 20150234636 | Barnes, Jr. | Aug 2015 | A1 |
| 20150234800 | Patrick et al. | Aug 2015 | A1 |
| 20150237301 | Shi et al. | Aug 2015 | A1 |
| 20150242091 | Lu et al. | Aug 2015 | A1 |
| 20150242385 | Bao et al. | Aug 2015 | A1 |
| 20150243278 | Kibre et al. | Aug 2015 | A1 |
| 20150243279 | Morse et al. | Aug 2015 | A1 |
| 20150243283 | Halash et al. | Aug 2015 | A1 |
| 20150244665 | Choi et al. | Aug 2015 | A1 |
| 20150245154 | Dadu et al. | Aug 2015 | A1 |
| 20150248651 | Akutagawa et al. | Sep 2015 | A1 |
| 20150248886 | Sarikaya et al. | Sep 2015 | A1 |
| 20150253146 | Annapureddy et al. | Sep 2015 | A1 |
| 20150253885 | Kagan et al. | Sep 2015 | A1 |
| 20150254057 | Klein et al. | Sep 2015 | A1 |
| 20150254058 | Klein et al. | Sep 2015 | A1 |
| 20150254333 | Fife et al. | Sep 2015 | A1 |
| 20150255071 | Chiba | Sep 2015 | A1 |
| 20150256873 | Klein et al. | Sep 2015 | A1 |
| 20150261298 | Li | Sep 2015 | A1 |
| 20150261496 | Faaborg et al. | Sep 2015 | A1 |
| 20150261850 | Mittal | Sep 2015 | A1 |
| 20150269139 | Mcateer et al. | Sep 2015 | A1 |
| 20150269617 | Mikurak | Sep 2015 | A1 |
| 20150269677 | Milne | Sep 2015 | A1 |
| 20150269943 | VanBlon et al. | Sep 2015 | A1 |
| 20150277574 | Jain et al. | Oct 2015 | A1 |
| 20150278348 | Paruchuri et al. | Oct 2015 | A1 |
| 20150278370 | Stratvert et al. | Oct 2015 | A1 |
| 20150278737 | Chen Huebscher et al. | Oct 2015 | A1 |
| 20150279358 | Kingsbury et al. | Oct 2015 | A1 |
| 20150279360 | Mengibar et al. | Oct 2015 | A1 |
| 20150279366 | Krestnikov et al. | Oct 2015 | A1 |
| 20150281380 | Wang et al. | Oct 2015 | A1 |
| 20150281401 | Le et al. | Oct 2015 | A1 |
| 20150286627 | Chang et al. | Oct 2015 | A1 |
| 20150286716 | Snibbe et al. | Oct 2015 | A1 |
| 20150286937 | Hildebrand | Oct 2015 | A1 |
| 20150287401 | Lee et al. | Oct 2015 | A1 |
| 20150287409 | Jang | Oct 2015 | A1 |
| 20150287411 | Kojima et al. | Oct 2015 | A1 |
| 20150288629 | Choi et al. | Oct 2015 | A1 |
| 20150294086 | Kare et al. | Oct 2015 | A1 |
| 20150294377 | Chow | Oct 2015 | A1 |
| 20150294516 | Chiang | Oct 2015 | A1 |
| 20150295915 | Xiu | Oct 2015 | A1 |
| 20150301796 | Visser et al. | Oct 2015 | A1 |
| 20150302855 | Kim et al. | Oct 2015 | A1 |
| 20150302856 | Kim et al. | Oct 2015 | A1 |
| 20150302857 | Yamada | Oct 2015 | A1 |
| 20150302870 | Burke et al. | Oct 2015 | A1 |
| 20150309997 | Lee et al. | Oct 2015 | A1 |
| 20150310114 | Ryger et al. | Oct 2015 | A1 |
| 20150310858 | Li et al. | Oct 2015 | A1 |
| 20150310862 | Dauphin et al. | Oct 2015 | A1 |
| 20150310879 | Buchanan et al. | Oct 2015 | A1 |
| 20150310888 | Chen | Oct 2015 | A1 |
| 20150312182 | Langholz | Oct 2015 | A1 |
| 20150312409 | Czarnecki et al. | Oct 2015 | A1 |
| 20150314454 | Breazeal et al. | Nov 2015 | A1 |
| 20150317069 | Clements et al. | Nov 2015 | A1 |
| 20150317310 | Eiche et al. | Nov 2015 | A1 |
| 20150319411 | Kasmir et al. | Nov 2015 | A1 |
| 20150324041 | Varley et al. | Nov 2015 | A1 |
| 20150324334 | Lee et al. | Nov 2015 | A1 |
| 20150331664 | Osawa et al. | Nov 2015 | A1 |
| 20150331711 | Huang et al. | Nov 2015 | A1 |
| 20150332667 | Mason | Nov 2015 | A1 |
| 20150334346 | Cheatham, III et al. | Nov 2015 | A1 |
| 20150339049 | Kasemset et al. | Nov 2015 | A1 |
| 20150339391 | Kang et al. | Nov 2015 | A1 |
| 20150340033 | Di Fabbrizio et al. | Nov 2015 | A1 |
| 20150340040 | Mun et al. | Nov 2015 | A1 |
| 20150340042 | Sejnoha et al. | Nov 2015 | A1 |
| 20150341717 | Song et al. | Nov 2015 | A1 |
| 20150346845 | Di Censo et al. | Dec 2015 | A1 |
| 20150347086 | Liedholm et al. | Dec 2015 | A1 |
| 20150347381 | Bellegarda | Dec 2015 | A1 |
| 20150347382 | Dolfing et al. | Dec 2015 | A1 |
| 20150347383 | Willmore et al. | Dec 2015 | A1 |
| 20150347385 | Flor et al. | Dec 2015 | A1 |
| 20150347393 | Futrell et al. | Dec 2015 | A1 |
| 20150347552 | Habouzit et al. | Dec 2015 | A1 |
| 20150347733 | Tsou et al. | Dec 2015 | A1 |
| 20150347985 | Gross et al. | Dec 2015 | A1 |
| 20150348533 | Saddler et al. | Dec 2015 | A1 |
| 20150348547 | Paulik et al. | Dec 2015 | A1 |
| 20150348548 | Piernot et al. | Dec 2015 | A1 |
| 20150348549 | Giuli et al. | Dec 2015 | A1 |
| 20150348551 | Gruber et al. | Dec 2015 | A1 |
| 20150348554 | Orr et al. | Dec 2015 | A1 |
| 20150348555 | Sugita | Dec 2015 | A1 |
| 20150348565 | Rhoten et al. | Dec 2015 | A1 |
| 20150349934 | Pollack et al. | Dec 2015 | A1 |
| 20150350031 | Burks et al. | Dec 2015 | A1 |
| 20150350342 | Thorpe et al. | Dec 2015 | A1 |
| 20150350594 | Mate et al. | Dec 2015 | A1 |
| 20150352999 | Bando et al. | Dec 2015 | A1 |
| 20150355879 | Beckhardt et al. | Dec 2015 | A1 |
| 20150356410 | Faith et al. | Dec 2015 | A1 |
| 20150363587 | Ahn et al. | Dec 2015 | A1 |
| 20150364128 | Zhao et al. | Dec 2015 | A1 |
| 20150364140 | Thörn | Dec 2015 | A1 |
| 20150370531 | Faaborg | Dec 2015 | A1 |
| 20150370780 | Wang et al. | Dec 2015 | A1 |
| 20150370787 | Akbacak et al. | Dec 2015 | A1 |
| 20150370884 | Hurley et al. | Dec 2015 | A1 |
| 20150371215 | Zhou et al. | Dec 2015 | A1 |
| 20150371529 | Dolecki | Dec 2015 | A1 |
| 20150371639 | Foerster et al. | Dec 2015 | A1 |
| 20150371663 | Gustafson et al. | Dec 2015 | A1 |
| 20150371665 | Naik et al. | Dec 2015 | A1 |
| 20150373183 | Woolsey et al. | Dec 2015 | A1 |
| 20150379118 | Wickenkamp et al. | Dec 2015 | A1 |
| 20150379414 | Yeh et al. | Dec 2015 | A1 |
| 20150379993 | Subhojit et al. | Dec 2015 | A1 |
| 20150381923 | Wickenkamp et al. | Dec 2015 | A1 |
| 20150382047 | Van Os et al. | Dec 2015 | A1 |
| 20150382079 | Lister et al. | Dec 2015 | A1 |
| 20150382147 | Clark et al. | Dec 2015 | A1 |
| 20160004690 | Bangalore et al. | Jan 2016 | A1 |
| 20160005320 | Decharms et al. | Jan 2016 | A1 |
| 20160012038 | Edwards et al. | Jan 2016 | A1 |
| 20160014476 | Caliendo, Jr. et al. | Jan 2016 | A1 |
| 20160018872 | Tu et al. | Jan 2016 | A1 |
| 20160018900 | Tu et al. | Jan 2016 | A1 |
| 20160018959 | Yamashita et al. | Jan 2016 | A1 |
| 20160019886 | Hong | Jan 2016 | A1 |
| 20160021414 | Padi et al. | Jan 2016 | A1 |
| 20160026258 | Ou et al. | Jan 2016 | A1 |
| 20160027431 | Kurzweil et al. | Jan 2016 | A1 |
| 20160028666 | Li | Jan 2016 | A1 |
| 20160029316 | Mohan et al. | Jan 2016 | A1 |
| 20160034042 | Joo | Feb 2016 | A1 |
| 20160034811 | Paulik et al. | Feb 2016 | A1 |
| 20160036953 | Lee et al. | Feb 2016 | A1 |
| 20160041809 | Clayton et al. | Feb 2016 | A1 |
| 20160042735 | Vibbert et al. | Feb 2016 | A1 |
| 20160042748 | Jain et al. | Feb 2016 | A1 |
| 20160043905 | Fiedler | Feb 2016 | A1 |
| 20160048666 | Dey et al. | Feb 2016 | A1 |
| 20160050254 | Rao et al. | Feb 2016 | A1 |
| 20160055422 | Li | Feb 2016 | A1 |
| 20160062605 | Agarwal et al. | Mar 2016 | A1 |
| 20160063094 | Udupa et al. | Mar 2016 | A1 |
| 20160063998 | Krishnamoorthy et al. | Mar 2016 | A1 |
| 20160070581 | Soon-shiong | Mar 2016 | A1 |
| 20160071516 | Lee et al. | Mar 2016 | A1 |
| 20160071517 | Beaver et al. | Mar 2016 | A1 |
| 20160071521 | Haughay | Mar 2016 | A1 |
| 20160072940 | Cronin | Mar 2016 | A1 |
| 20160077794 | Kim et al. | Mar 2016 | A1 |
| 20160078860 | Paulik et al. | Mar 2016 | A1 |
| 20160080165 | Ehsani et al. | Mar 2016 | A1 |
| 20160080475 | Singh et al. | Mar 2016 | A1 |
| 20160085295 | Shimy et al. | Mar 2016 | A1 |
| 20160085827 | Chadha et al. | Mar 2016 | A1 |
| 20160086116 | Rao et al. | Mar 2016 | A1 |
| 20160086599 | Kurata et al. | Mar 2016 | A1 |
| 20160088335 | Zucchetta | Mar 2016 | A1 |
| 20160091967 | Prokofieva et al. | Mar 2016 | A1 |
| 20160092434 | Bellegarda | Mar 2016 | A1 |
| 20160092447 | Pathurudeen et al. | Mar 2016 | A1 |
| 20160092766 | Sainath et al. | Mar 2016 | A1 |
| 20160093291 | Kim | Mar 2016 | A1 |
| 20160093298 | Naik et al. | Mar 2016 | A1 |
| 20160093301 | Bellegarda et al. | Mar 2016 | A1 |
| 20160093304 | Kim et al. | Mar 2016 | A1 |
| 20160094700 | Lee et al. | Mar 2016 | A1 |
| 20160094889 | Venkataraman et al. | Mar 2016 | A1 |
| 20160094979 | Naik et al. | Mar 2016 | A1 |
| 20160098991 | Luo et al. | Apr 2016 | A1 |
| 20160098992 | Renard et al. | Apr 2016 | A1 |
| 20160099892 | Palakovich et al. | Apr 2016 | A1 |
| 20160099984 | Karagiannis et al. | Apr 2016 | A1 |
| 20160104480 | Sharifi | Apr 2016 | A1 |
| 20160104486 | Penilla et al. | Apr 2016 | A1 |
| 20160111091 | Bakish | Apr 2016 | A1 |
| 20160112746 | Zhang et al. | Apr 2016 | A1 |
| 20160117386 | Ajmera et al. | Apr 2016 | A1 |
| 20160118048 | Heide | Apr 2016 | A1 |
| 20160119338 | Cheyer | Apr 2016 | A1 |
| 20160125048 | Hamada | May 2016 | A1 |
| 20160125071 | Gabbai | May 2016 | A1 |
| 20160132046 | Beoughter et al. | May 2016 | A1 |
| 20160132484 | Nauze et al. | May 2016 | A1 |
| 20160132488 | Clark et al. | May 2016 | A1 |
| 20160133254 | Vogel et al. | May 2016 | A1 |
| 20160139662 | Dabhade | May 2016 | A1 |
| 20160140951 | Agiomyrgiannakis et al. | May 2016 | A1 |
| 20160140962 | Sharifi | May 2016 | A1 |
| 20160147725 | Patten et al. | May 2016 | A1 |
| 20160148610 | Kennewick, Jr. et al. | May 2016 | A1 |
| 20160150020 | Farmer et al. | May 2016 | A1 |
| 20160154624 | Son et al. | Jun 2016 | A1 |
| 20160154880 | Hoarty | Jun 2016 | A1 |
| 20160155442 | Kannan et al. | Jun 2016 | A1 |
| 20160155443 | Khan et al. | Jun 2016 | A1 |
| 20160156574 | Hum et al. | Jun 2016 | A1 |
| 20160162456 | Munro et al. | Jun 2016 | A1 |
| 20160163311 | Crook et al. | Jun 2016 | A1 |
| 20160163312 | Naik et al. | Jun 2016 | A1 |
| 20160170966 | Kolo | Jun 2016 | A1 |
| 20160173578 | Sharma et al. | Jun 2016 | A1 |
| 20160173617 | Allinson | Jun 2016 | A1 |
| 20160173960 | Snibbe et al. | Jun 2016 | A1 |
| 20160179462 | Bjorkengren | Jun 2016 | A1 |
| 20160179464 | Reddy et al. | Jun 2016 | A1 |
| 20160179787 | Deleeuw | Jun 2016 | A1 |
| 20160180840 | Siddiq et al. | Jun 2016 | A1 |
| 20160180844 | Vanblon et al. | Jun 2016 | A1 |
| 20160182410 | Janakiraman et al. | Jun 2016 | A1 |
| 20160182709 | Kim et al. | Jun 2016 | A1 |
| 20160188181 | Smith | Jun 2016 | A1 |
| 20160188738 | Gruber et al. | Jun 2016 | A1 |
| 20160189717 | Kannan et al. | Jun 2016 | A1 |
| 20160196110 | Yehoshua et al. | Jul 2016 | A1 |
| 20160198319 | Huang et al. | Jul 2016 | A1 |
| 20160203002 | Kannan et al. | Jul 2016 | A1 |
| 20160210551 | Lee et al. | Jul 2016 | A1 |
| 20160210981 | Lee | Jul 2016 | A1 |
| 20160212488 | Os et al. | Jul 2016 | A1 |
| 20160217784 | Gelfenbeyn et al. | Jul 2016 | A1 |
| 20160224540 | Stewart et al. | Aug 2016 | A1 |
| 20160224774 | Pender | Aug 2016 | A1 |
| 20160225372 | Cheung et al. | Aug 2016 | A1 |
| 20160227107 | Beaumont | Aug 2016 | A1 |
| 20160232500 | Wang et al. | Aug 2016 | A1 |
| 20160239645 | Heo et al. | Aug 2016 | A1 |
| 20160240187 | Fleizach et al. | Aug 2016 | A1 |
| 20160240189 | Lee et al. | Aug 2016 | A1 |
| 20160240192 | Raghuvir | Aug 2016 | A1 |
| 20160247061 | Trask et al. | Aug 2016 | A1 |
| 20160249319 | Dotan-Cohen et al. | Aug 2016 | A1 |
| 20160253312 | Rhodes | Sep 2016 | A1 |
| 20160253528 | Gao et al. | Sep 2016 | A1 |
| 20160259623 | Sumner et al. | Sep 2016 | A1 |
| 20160259656 | Sumner et al. | Sep 2016 | A1 |
| 20160259779 | Labský et al. | Sep 2016 | A1 |
| 20160260431 | Newendorp et al. | Sep 2016 | A1 |
| 20160260433 | Sumner et al. | Sep 2016 | A1 |
| 20160260434 | Gelfenbeyn et al. | Sep 2016 | A1 |
| 20160260436 | Lemay et al. | Sep 2016 | A1 |
| 20160266871 | Schmid et al. | Sep 2016 | A1 |
| 20160267904 | Biadsy et al. | Sep 2016 | A1 |
| 20160274938 | Strinati et al. | Sep 2016 | A1 |
| 20160275941 | Bellegarda et al. | Sep 2016 | A1 |
| 20160275947 | Li et al. | Sep 2016 | A1 |
| 20160282824 | Smallwood et al. | Sep 2016 | A1 |
| 20160282956 | Ouyang et al. | Sep 2016 | A1 |
| 20160283185 | Mclaren et al. | Sep 2016 | A1 |
| 20160284005 | Daniel et al. | Sep 2016 | A1 |
| 20160284199 | Dotan-cohen et al. | Sep 2016 | A1 |
| 20160285808 | Franklin et al. | Sep 2016 | A1 |
| 20160286045 | Shaltiel et al. | Sep 2016 | A1 |
| 20160293157 | Chen et al. | Oct 2016 | A1 |
| 20160293168 | Chen | Oct 2016 | A1 |
| 20160294755 | Prabhu | Oct 2016 | A1 |
| 20160299685 | Zhai et al. | Oct 2016 | A1 |
| 20160299882 | Hegerty et al. | Oct 2016 | A1 |
| 20160299883 | Zhu et al. | Oct 2016 | A1 |
| 20160299977 | Hreha | Oct 2016 | A1 |
| 20160300571 | Foerster et al. | Oct 2016 | A1 |
| 20160301639 | Liu et al. | Oct 2016 | A1 |
| 20160307566 | Bellegarda | Oct 2016 | A1 |
| 20160308799 | Schubert et al. | Oct 2016 | A1 |
| 20160313906 | Kilchenko et al. | Oct 2016 | A1 |
| 20160314788 | Jitkoff et al. | Oct 2016 | A1 |
| 20160314792 | Alvarez et al. | Oct 2016 | A1 |
| 20160315996 | Ha et al. | Oct 2016 | A1 |
| 20160317924 | Tanaka et al. | Nov 2016 | A1 |
| 20160321239 | Iso-Sipilä et al. | Nov 2016 | A1 |
| 20160321261 | Spasojevic et al. | Nov 2016 | A1 |
| 20160321358 | Kanani et al. | Nov 2016 | A1 |
| 20160322043 | Bellegarda | Nov 2016 | A1 |
| 20160322044 | Jung et al. | Nov 2016 | A1 |
| 20160322045 | Hatfield et al. | Nov 2016 | A1 |
| 20160322048 | Amano et al. | Nov 2016 | A1 |
| 20160322050 | Wang et al. | Nov 2016 | A1 |
| 20160328147 | Zhang et al. | Nov 2016 | A1 |
| 20160328205 | Agrawal et al. | Nov 2016 | A1 |
| 20160328893 | Cordova et al. | Nov 2016 | A1 |
| 20160329060 | Ito et al. | Nov 2016 | A1 |
| 20160334973 | Reckhow et al. | Nov 2016 | A1 |
| 20160335532 | Sanghavi et al. | Nov 2016 | A1 |
| 20160336007 | Hanazawa et al. | Nov 2016 | A1 |
| 20160336010 | Lindahl | Nov 2016 | A1 |
| 20160336011 | Koll et al. | Nov 2016 | A1 |
| 20160336024 | Choi et al. | Nov 2016 | A1 |
| 20160337299 | Lane et al. | Nov 2016 | A1 |
| 20160337301 | Rollins et al. | Nov 2016 | A1 |
| 20160342317 | Lim et al. | Nov 2016 | A1 |
| 20160342685 | Basu et al. | Nov 2016 | A1 |
| 20160342781 | Jeon | Nov 2016 | A1 |
| 20160350650 | Leeman-Munk et al. | Dec 2016 | A1 |
| 20160351190 | Piernot et al. | Dec 2016 | A1 |
| 20160352567 | Robbins et al. | Dec 2016 | A1 |
| 20160357304 | Hatori et al. | Dec 2016 | A1 |
| 20160357728 | Bellegarda et al. | Dec 2016 | A1 |
| 20160357790 | Elkington et al. | Dec 2016 | A1 |
| 20160357861 | Carlhian et al. | Dec 2016 | A1 |
| 20160357870 | Hentschel et al. | Dec 2016 | A1 |
| 20160358598 | Williams et al. | Dec 2016 | A1 |
| 20160358600 | Nallasamy et al. | Dec 2016 | A1 |
| 20160358619 | Ramprashad et al. | Dec 2016 | A1 |
| 20160359771 | Sridhar | Dec 2016 | A1 |
| 20160360039 | Sanghavi et al. | Dec 2016 | A1 |
| 20160360336 | Gross et al. | Dec 2016 | A1 |
| 20160360382 | Gross et al. | Dec 2016 | A1 |
| 20160364378 | Futrell et al. | Dec 2016 | A1 |
| 20160365101 | Foy et al. | Dec 2016 | A1 |
| 20160371250 | Rhodes | Dec 2016 | A1 |
| 20160372112 | Miller et al. | Dec 2016 | A1 |
| 20160372119 | Sak et al. | Dec 2016 | A1 |
| 20160378747 | Orr et al. | Dec 2016 | A1 |
| 20160379091 | Lin et al. | Dec 2016 | A1 |
| 20160379626 | Deisher et al. | Dec 2016 | A1 |
| 20160379632 | Hoffmeister et al. | Dec 2016 | A1 |
| 20160379633 | Lehman et al. | Dec 2016 | A1 |
| 20160379639 | Weinstein et al. | Dec 2016 | A1 |
| 20160379641 | Liu et al. | Dec 2016 | A1 |
| 20170003931 | Dvortsov et al. | Jan 2017 | A1 |
| 20170004824 | Yoo et al. | Jan 2017 | A1 |
| 20170005818 | Gould | Jan 2017 | A1 |
| 20170011091 | Chehreghani | Jan 2017 | A1 |
| 20170011303 | Annapureddy et al. | Jan 2017 | A1 |
| 20170011742 | Jing et al. | Jan 2017 | A1 |
| 20170013124 | Havelka et al. | Jan 2017 | A1 |
| 20170013331 | Watanabe et al. | Jan 2017 | A1 |
| 20170018271 | Khan et al. | Jan 2017 | A1 |
| 20170019987 | Dragone et al. | Jan 2017 | A1 |
| 20170023963 | Davis et al. | Jan 2017 | A1 |
| 20170025124 | Mixter et al. | Jan 2017 | A1 |
| 20170026318 | Daniel et al. | Jan 2017 | A1 |
| 20170026509 | Rand | Jan 2017 | A1 |
| 20170031576 | Saoji et al. | Feb 2017 | A1 |
| 20170032783 | Lord et al. | Feb 2017 | A1 |
| 20170032787 | Dayal | Feb 2017 | A1 |
| 20170032791 | Elson et al. | Feb 2017 | A1 |
| 20170039283 | Bennett et al. | Feb 2017 | A1 |
| 20170039475 | Cheyer et al. | Feb 2017 | A1 |
| 20170040002 | Basson et al. | Feb 2017 | A1 |
| 20170047063 | Ohmura et al. | Feb 2017 | A1 |
| 20170053652 | Choi et al. | Feb 2017 | A1 |
| 20170055895 | Jardins et al. | Mar 2017 | A1 |
| 20170060853 | Lee et al. | Mar 2017 | A1 |
| 20170061423 | Bryant et al. | Mar 2017 | A1 |
| 20170068423 | Napolitano et al. | Mar 2017 | A1 |
| 20170068513 | Stasior et al. | Mar 2017 | A1 |
| 20170068550 | Zeitlin | Mar 2017 | A1 |
| 20170068670 | Orr et al. | Mar 2017 | A1 |
| 20170069308 | Aleksic et al. | Mar 2017 | A1 |
| 20170075653 | Dawidowsky et al. | Mar 2017 | A1 |
| 20170076720 | Gopalan et al. | Mar 2017 | A1 |
| 20170076721 | Bargetzi et al. | Mar 2017 | A1 |
| 20170078490 | Kaminsky et al. | Mar 2017 | A1 |
| 20170083179 | Gruber et al. | Mar 2017 | A1 |
| 20170083285 | Meyers et al. | Mar 2017 | A1 |
| 20170083504 | Huang | Mar 2017 | A1 |
| 20170084277 | Sharifi | Mar 2017 | A1 |
| 20170085547 | De Aguiar et al. | Mar 2017 | A1 |
| 20170090569 | Levesque | Mar 2017 | A1 |
| 20170091168 | Bellegarda et al. | Mar 2017 | A1 |
| 20170091169 | Bellegarda et al. | Mar 2017 | A1 |
| 20170091612 | Gruber et al. | Mar 2017 | A1 |
| 20170092259 | Jeon | Mar 2017 | A1 |
| 20170092270 | Newendorp et al. | Mar 2017 | A1 |
| 20170092278 | Evermann et al. | Mar 2017 | A1 |
| 20170093356 | Cudak et al. | Mar 2017 | A1 |
| 20170102837 | Toumpelis | Apr 2017 | A1 |
| 20170102915 | Kuscher et al. | Apr 2017 | A1 |
| 20170103749 | Zhao et al. | Apr 2017 | A1 |
| 20170105190 | Logan et al. | Apr 2017 | A1 |
| 20170110117 | Chakladar et al. | Apr 2017 | A1 |
| 20170116177 | Walia | Apr 2017 | A1 |
| 20170116982 | Gelfenbeyn et al. | Apr 2017 | A1 |
| 20170116989 | Yadgar et al. | Apr 2017 | A1 |
| 20170124190 | Wang et al. | May 2017 | A1 |
| 20170125016 | Wang | May 2017 | A1 |
| 20170127124 | Wilson et al. | May 2017 | A9 |
| 20170131778 | Iyer | May 2017 | A1 |
| 20170132019 | Karashchuk et al. | May 2017 | A1 |
| 20170132199 | Vescovi et al. | May 2017 | A1 |
| 20170133007 | Drewes | May 2017 | A1 |
| 20170140041 | Dotan-Cohen et al. | May 2017 | A1 |
| 20170140644 | Hwang et al. | May 2017 | A1 |
| 20170140760 | Sachdev | May 2017 | A1 |
| 20170147841 | Stagg et al. | May 2017 | A1 |
| 20170148044 | Fukuda et al. | May 2017 | A1 |
| 20170154033 | Lee | Jun 2017 | A1 |
| 20170154055 | Dimson et al. | Jun 2017 | A1 |
| 20170155940 | Jin et al. | Jun 2017 | A1 |
| 20170161018 | Lemay et al. | Jun 2017 | A1 |
| 20170161268 | Badaskar | Jun 2017 | A1 |
| 20170161293 | Ionescu et al. | Jun 2017 | A1 |
| 20170161393 | Oh et al. | Jun 2017 | A1 |
| 20170162191 | Grost et al. | Jun 2017 | A1 |
| 20170162203 | Huang et al. | Jun 2017 | A1 |
| 20170169818 | Vanblon et al. | Jun 2017 | A1 |
| 20170169819 | Mese et al. | Jun 2017 | A1 |
| 20170177547 | Ciereszko et al. | Jun 2017 | A1 |
| 20170178619 | Naik et al. | Jun 2017 | A1 |
| 20170178620 | Fleizach et al. | Jun 2017 | A1 |
| 20170178626 | Gruber et al. | Jun 2017 | A1 |
| 20170180499 | Gelfenbeyn et al. | Jun 2017 | A1 |
| 20170185375 | Martel et al. | Jun 2017 | A1 |
| 20170185581 | Bojja et al. | Jun 2017 | A1 |
| 20170186429 | Giuli et al. | Jun 2017 | A1 |
| 20170187711 | Joo et al. | Jun 2017 | A1 |
| 20170193083 | Bhatt et al. | Jul 2017 | A1 |
| 20170195493 | Sudarsan et al. | Jul 2017 | A1 |
| 20170195636 | Child et al. | Jul 2017 | A1 |
| 20170199870 | Zheng et al. | Jul 2017 | A1 |
| 20170199874 | Patel et al. | Jul 2017 | A1 |
| 20170200066 | Wang et al. | Jul 2017 | A1 |
| 20170201609 | Salmenkaita et al. | Jul 2017 | A1 |
| 20170201613 | Engelke et al. | Jul 2017 | A1 |
| 20170206899 | Bryant et al. | Jul 2017 | A1 |
| 20170215052 | Koum et al. | Jul 2017 | A1 |
| 20170221486 | Kurata et al. | Aug 2017 | A1 |
| 20170223189 | Meredith et al. | Aug 2017 | A1 |
| 20170227935 | Su et al. | Aug 2017 | A1 |
| 20170228367 | Pasupalak et al. | Aug 2017 | A1 |
| 20170228382 | Haviv et al. | Aug 2017 | A1 |
| 20170230429 | Garmark et al. | Aug 2017 | A1 |
| 20170230497 | Kim et al. | Aug 2017 | A1 |
| 20170230709 | Van Os et al. | Aug 2017 | A1 |
| 20170235361 | Rigazio et al. | Aug 2017 | A1 |
| 20170235618 | Lin et al. | Aug 2017 | A1 |
| 20170235721 | Almosallam et al. | Aug 2017 | A1 |
| 20170236512 | Williams et al. | Aug 2017 | A1 |
| 20170236514 | Nelson | Aug 2017 | A1 |
| 20170238039 | Sabattini | Aug 2017 | A1 |
| 20170242653 | Lang et al. | Aug 2017 | A1 |
| 20170242657 | Jarvis et al. | Aug 2017 | A1 |
| 20170243468 | Dotan-cohen et al. | Aug 2017 | A1 |
| 20170243576 | Millington et al. | Aug 2017 | A1 |
| 20170243586 | Civelli et al. | Aug 2017 | A1 |
| 20170256256 | Wang et al. | Sep 2017 | A1 |
| 20170263247 | Kang et al. | Sep 2017 | A1 |
| 20170263248 | Gruber et al. | Sep 2017 | A1 |
| 20170263249 | Akbacak et al. | Sep 2017 | A1 |
| 20170264451 | Yu et al. | Sep 2017 | A1 |
| 20170264711 | Natarajan et al. | Sep 2017 | A1 |
| 20170270912 | Levit et al. | Sep 2017 | A1 |
| 20170278514 | Mathias et al. | Sep 2017 | A1 |
| 20170285915 | Napolitano et al. | Oct 2017 | A1 |
| 20170286397 | Gonzalez | Oct 2017 | A1 |
| 20170287472 | Ogawa et al. | Oct 2017 | A1 |
| 20170289305 | Liensberger et al. | Oct 2017 | A1 |
| 20170295446 | Shivappa | Oct 2017 | A1 |
| 20170308609 | Berkhin et al. | Oct 2017 | A1 |
| 20170311005 | Lin | Oct 2017 | A1 |
| 20170316775 | Le et al. | Nov 2017 | A1 |
| 20170316782 | Haughay | Nov 2017 | A1 |
| 20170319123 | Voss et al. | Nov 2017 | A1 |
| 20170323637 | Naik | Nov 2017 | A1 |
| 20170329466 | Krenkler et al. | Nov 2017 | A1 |
| 20170329490 | Esinovskaya et al. | Nov 2017 | A1 |
| 20170329572 | Shah et al. | Nov 2017 | A1 |
| 20170329630 | Jann et al. | Nov 2017 | A1 |
| 20170330567 | Van Wissen et al. | Nov 2017 | A1 |
| 20170337035 | Choudhary et al. | Nov 2017 | A1 |
| 20170337478 | Sarikaya et al. | Nov 2017 | A1 |
| 20170345411 | Raitio et al. | Nov 2017 | A1 |
| 20170345420 | Barnett, Jr. | Nov 2017 | A1 |
| 20170345429 | Hardee et al. | Nov 2017 | A1 |
| 20170346949 | Sanghavi et al. | Nov 2017 | A1 |
| 20170351487 | Avilés-Casco et al. | Dec 2017 | A1 |
| 20170352346 | Paulik et al. | Dec 2017 | A1 |
| 20170352350 | Booker et al. | Dec 2017 | A1 |
| 20170357478 | Piersol et al. | Dec 2017 | A1 |
| 20170357632 | Pagallo et al. | Dec 2017 | A1 |
| 20170357633 | Wang et al. | Dec 2017 | A1 |
| 20170357637 | Nell et al. | Dec 2017 | A1 |
| 20170357640 | Bellegarda et al. | Dec 2017 | A1 |
| 20170357716 | Bellegarda et al. | Dec 2017 | A1 |
| 20170358300 | Laurens et al. | Dec 2017 | A1 |
| 20170358301 | Raitio et al. | Dec 2017 | A1 |
| 20170358302 | Orr et al. | Dec 2017 | A1 |
| 20170358303 | Walker, II et al. | Dec 2017 | A1 |
| 20170358304 | Castillo et al. | Dec 2017 | A1 |
| 20170358305 | Kudurshian et al. | Dec 2017 | A1 |
| 20170358317 | James | Dec 2017 | A1 |
| 20170365251 | Park et al. | Dec 2017 | A1 |
| 20170371509 | Jung et al. | Dec 2017 | A1 |
| 20170371885 | Aggarwal et al. | Dec 2017 | A1 |
| 20170374093 | Dhar et al. | Dec 2017 | A1 |
| 20170374176 | Agrawal et al. | Dec 2017 | A1 |
| 20180005112 | Iso-Sipila et al. | Jan 2018 | A1 |
| 20180007060 | Leblang et al. | Jan 2018 | A1 |
| 20180007096 | Levin et al. | Jan 2018 | A1 |
| 20180007538 | Naik et al. | Jan 2018 | A1 |
| 20180012596 | Piernot et al. | Jan 2018 | A1 |
| 20180018248 | Bhargava et al. | Jan 2018 | A1 |
| 20180024985 | Asano | Jan 2018 | A1 |
| 20180033431 | Newendorp et al. | Feb 2018 | A1 |
| 20180033436 | Zhou | Feb 2018 | A1 |
| 20180047201 | Filev et al. | Feb 2018 | A1 |
| 20180047406 | Park | Feb 2018 | A1 |
| 20180052909 | Sharifi et al. | Feb 2018 | A1 |
| 20180054505 | Hart et al. | Feb 2018 | A1 |
| 20180060032 | Boesen | Mar 2018 | A1 |
| 20180060301 | Li et al. | Mar 2018 | A1 |
| 20180060312 | Won | Mar 2018 | A1 |
| 20180061400 | Carbune et al. | Mar 2018 | A1 |
| 20180061401 | Sarikaya et al. | Mar 2018 | A1 |
| 20180062691 | Barnett, Jr. | Mar 2018 | A1 |
| 20180063308 | Crystal et al. | Mar 2018 | A1 |
| 20180063324 | Van Meter, II | Mar 2018 | A1 |
| 20180063624 | Boesen | Mar 2018 | A1 |
| 20180067904 | Li | Mar 2018 | A1 |
| 20180067914 | Chen et al. | Mar 2018 | A1 |
| 20180067918 | Bellegarda et al. | Mar 2018 | A1 |
| 20180069743 | Bakken et al. | Mar 2018 | A1 |
| 20180075847 | Lee et al. | Mar 2018 | A1 |
| 20180088969 | Vanblon et al. | Mar 2018 | A1 |
| 20180089166 | Meyer et al. | Mar 2018 | A1 |
| 20180089588 | Ravi et al. | Mar 2018 | A1 |
| 20180090143 | Saddler et al. | Mar 2018 | A1 |
| 20180091847 | Wu et al. | Mar 2018 | A1 |
| 20180096683 | James et al. | Apr 2018 | A1 |
| 20180096690 | Mixter et al. | Apr 2018 | A1 |
| 20180102914 | Kawachi et al. | Apr 2018 | A1 |
| 20180107917 | Hewavitharana et al. | Apr 2018 | A1 |
| 20180107945 | Gao et al. | Apr 2018 | A1 |
| 20180108346 | Paulik et al. | Apr 2018 | A1 |
| 20180113673 | Sheynblat | Apr 2018 | A1 |
| 20180121432 | Parson et al. | May 2018 | A1 |
| 20180122376 | Kojima | May 2018 | A1 |
| 20180122378 | Mixter et al. | May 2018 | A1 |
| 20180129967 | Herreshoff | May 2018 | A1 |
| 20180130470 | Lemay et al. | May 2018 | A1 |
| 20180130471 | Trufinescu et al. | May 2018 | A1 |
| 20180137856 | Gilbert | May 2018 | A1 |
| 20180137857 | Zhou et al. | May 2018 | A1 |
| 20180137865 | Ling | May 2018 | A1 |
| 20180143967 | Anbazhagan et al. | May 2018 | A1 |
| 20180144615 | Kinney et al. | May 2018 | A1 |
| 20180144746 | Mishra et al. | May 2018 | A1 |
| 20180144748 | Leong | May 2018 | A1 |
| 20180146089 | Rauenbuehler et al. | May 2018 | A1 |
| 20180150744 | Orr et al. | May 2018 | A1 |
| 20180157372 | Kurabayashi | Jun 2018 | A1 |
| 20180157992 | Susskind et al. | Jun 2018 | A1 |
| 20180158548 | Taheri et al. | Jun 2018 | A1 |
| 20180166076 | Higuchi et al. | Jun 2018 | A1 |
| 20180167884 | Dawid et al. | Jun 2018 | A1 |
| 20180173403 | Carbune et al. | Jun 2018 | A1 |
| 20180173542 | Chan et al. | Jun 2018 | A1 |
| 20180174406 | Arashi et al. | Jun 2018 | A1 |
| 20180174576 | Soltau et al. | Jun 2018 | A1 |
| 20180174597 | Lee et al. | Jun 2018 | A1 |
| 20180182376 | Gysel et al. | Jun 2018 | A1 |
| 20180188840 | Tamura et al. | Jul 2018 | A1 |
| 20180190273 | Karimli et al. | Jul 2018 | A1 |
| 20180190279 | Anderson et al. | Jul 2018 | A1 |
| 20180191670 | Suyama | Jul 2018 | A1 |
| 20180196683 | Radebaugh et al. | Jul 2018 | A1 |
| 20180210874 | Fuxman et al. | Jul 2018 | A1 |
| 20180213448 | Segal et al. | Jul 2018 | A1 |
| 20180218735 | Hunt et al. | Aug 2018 | A1 |
| 20180225274 | Tommy et al. | Aug 2018 | A1 |
| 20180232203 | Gelfenbeyn et al. | Aug 2018 | A1 |
| 20180233140 | Koishida et al. | Aug 2018 | A1 |
| 20180247065 | Rhee et al. | Aug 2018 | A1 |
| 20180253209 | Jaygarl et al. | Sep 2018 | A1 |
| 20180253652 | Palzer et al. | Sep 2018 | A1 |
| 20180260680 | Finkelstein et al. | Sep 2018 | A1 |
| 20180268106 | Velaga | Sep 2018 | A1 |
| 20180270343 | Rout et al. | Sep 2018 | A1 |
| 20180275839 | Kocienda et al. | Sep 2018 | A1 |
| 20180276197 | Nell et al. | Sep 2018 | A1 |
| 20180277113 | Hartung et al. | Sep 2018 | A1 |
| 20180278740 | Choi et al. | Sep 2018 | A1 |
| 20180285056 | Cutler et al. | Oct 2018 | A1 |
| 20180293984 | Lindahl | Oct 2018 | A1 |
| 20180293988 | Huang et al. | Oct 2018 | A1 |
| 20180308477 | Nagasaka | Oct 2018 | A1 |
| 20180308480 | Jang et al. | Oct 2018 | A1 |
| 20180308485 | Kudurshian et al. | Oct 2018 | A1 |
| 20180308486 | Saddler et al. | Oct 2018 | A1 |
| 20180314552 | Kim et al. | Nov 2018 | A1 |
| 20180315416 | Berthelsen et al. | Nov 2018 | A1 |
| 20180322112 | Bellegarda et al. | Nov 2018 | A1 |
| 20180322881 | Min et al. | Nov 2018 | A1 |
| 20180329677 | Gruber et al. | Nov 2018 | A1 |
| 20180329957 | Frazzingaro et al. | Nov 2018 | A1 |
| 20180329982 | Patel et al. | Nov 2018 | A1 |
| 20180329998 | Thomson et al. | Nov 2018 | A1 |
| 20180330714 | Paulik et al. | Nov 2018 | A1 |
| 20180330721 | Thomson et al. | Nov 2018 | A1 |
| 20180330722 | Newendorp et al. | Nov 2018 | A1 |
| 20180330723 | Acero et al. | Nov 2018 | A1 |
| 20180330729 | Golipour et al. | Nov 2018 | A1 |
| 20180330730 | Garg et al. | Nov 2018 | A1 |
| 20180330731 | Zeitlin et al. | Nov 2018 | A1 |
| 20180330733 | Orr et al. | Nov 2018 | A1 |
| 20180330737 | Paulik et al. | Nov 2018 | A1 |
| 20180332118 | Phipps et al. | Nov 2018 | A1 |
| 20180336184 | Bellegarda et al. | Nov 2018 | A1 |
| 20180336197 | Skilling et al. | Nov 2018 | A1 |
| 20180336275 | Graham et al. | Nov 2018 | A1 |
| 20180336439 | Kliger et al. | Nov 2018 | A1 |
| 20180336449 | Adan et al. | Nov 2018 | A1 |
| 20180336892 | Kim et al. | Nov 2018 | A1 |
| 20180336894 | Graham et al. | Nov 2018 | A1 |
| 20180336904 | Piercy et al. | Nov 2018 | A1 |
| 20180336905 | Kim et al. | Nov 2018 | A1 |
| 20180336920 | Bastian et al. | Nov 2018 | A1 |
| 20180341643 | Alders et al. | Nov 2018 | A1 |
| 20180343557 | Naik et al. | Nov 2018 | A1 |
| 20180349084 | Nagasaka et al. | Dec 2018 | A1 |
| 20180349346 | Hatori et al. | Dec 2018 | A1 |
| 20180349349 | Bellegarda et al. | Dec 2018 | A1 |
| 20180349447 | Maccartney et al. | Dec 2018 | A1 |
| 20180349472 | Kohlschuetter et al. | Dec 2018 | A1 |
| 20180350345 | Naik | Dec 2018 | A1 |
| 20180350353 | Gruber et al. | Dec 2018 | A1 |
| 20180357073 | Johnson et al. | Dec 2018 | A1 |
| 20180357308 | Cheyer | Dec 2018 | A1 |
| 20180358015 | Cash et al. | Dec 2018 | A1 |
| 20180358019 | Mont-Reynaud | Dec 2018 | A1 |
| 20180365653 | Cleaver et al. | Dec 2018 | A1 |
| 20180366105 | Kim | Dec 2018 | A1 |
| 20180373487 | Gruber et al. | Dec 2018 | A1 |
| 20180374484 | Huang et al. | Dec 2018 | A1 |
| 20190012141 | Piersol et al. | Jan 2019 | A1 |
| 20190012449 | Cheyer | Jan 2019 | A1 |
| 20190013018 | Rekstad | Jan 2019 | A1 |
| 20190013025 | Alcorn et al. | Jan 2019 | A1 |
| 20190014450 | Gruber et al. | Jan 2019 | A1 |
| 20190019077 | Griffin et al. | Jan 2019 | A1 |
| 20190027152 | Huang et al. | Jan 2019 | A1 |
| 20190034040 | Shah et al. | Jan 2019 | A1 |
| 20190034826 | Ahmad et al. | Jan 2019 | A1 |
| 20190035405 | Haughay | Jan 2019 | A1 |
| 20190042059 | Baer | Feb 2019 | A1 |
| 20190042627 | Osotio et al. | Feb 2019 | A1 |
| 20190043507 | Huang et al. | Feb 2019 | A1 |
| 20190045040 | Lee et al. | Feb 2019 | A1 |
| 20190051309 | Kim et al. | Feb 2019 | A1 |
| 20190057697 | Giuli et al. | Feb 2019 | A1 |
| 20190065144 | Sumner et al. | Feb 2019 | A1 |
| 20190065993 | Srinivasan et al. | Feb 2019 | A1 |
| 20190066674 | Jaygarl et al. | Feb 2019 | A1 |
| 20190068810 | Okamoto et al. | Feb 2019 | A1 |
| 20190073998 | Leblang et al. | Mar 2019 | A1 |
| 20190074009 | Kim et al. | Mar 2019 | A1 |
| 20190074015 | Orr et al. | Mar 2019 | A1 |
| 20190074016 | Orr et al. | Mar 2019 | A1 |
| 20190079476 | Funes | Mar 2019 | A1 |
| 20190080685 | Johnson, Jr. | Mar 2019 | A1 |
| 20190080698 | Miller | Mar 2019 | A1 |
| 20190087412 | Seyed Ibrahim et al. | Mar 2019 | A1 |
| 20190087455 | He et al. | Mar 2019 | A1 |
| 20190095050 | Gruber et al. | Mar 2019 | A1 |
| 20190095171 | Carson et al. | Mar 2019 | A1 |
| 20190102378 | Piernot et al. | Apr 2019 | A1 |
| 20190102381 | Futrell et al. | Apr 2019 | A1 |
| 20190103103 | Ni | Apr 2019 | A1 |
| 20190103112 | Walker et al. | Apr 2019 | A1 |
| 20190116264 | Sanghavi et al. | Apr 2019 | A1 |
| 20190122666 | Raitio et al. | Apr 2019 | A1 |
| 20190122692 | Binder et al. | Apr 2019 | A1 |
| 20190124019 | Leon et al. | Apr 2019 | A1 |
| 20190129615 | Sundar et al. | May 2019 | A1 |
| 20190132694 | Hanes et al. | May 2019 | A1 |
| 20190139541 | Andersen et al. | May 2019 | A1 |
| 20190141494 | Gross et al. | May 2019 | A1 |
| 20190147880 | Booker et al. | May 2019 | A1 |
| 20190149972 | Parks et al. | May 2019 | A1 |
| 20190156830 | Devaraj et al. | May 2019 | A1 |
| 20190158994 | Gross et al. | May 2019 | A1 |
| 20190164546 | Piernot et al. | May 2019 | A1 |
| 20190172467 | Kim et al. | Jun 2019 | A1 |
| 20190179607 | Thangarathnam et al. | Jun 2019 | A1 |
| 20190179890 | Evermann | Jun 2019 | A1 |
| 20190180770 | Kothari et al. | Jun 2019 | A1 |
| 20190182176 | Niewczas | Jun 2019 | A1 |
| 20190187787 | White et al. | Jun 2019 | A1 |
| 20190188326 | Daianu et al. | Jun 2019 | A1 |
| 20190188328 | Oyenan et al. | Jun 2019 | A1 |
| 20190189118 | Piernot et al. | Jun 2019 | A1 |
| 20190189125 | Van Os et al. | Jun 2019 | A1 |
| 20190197053 | Graham et al. | Jun 2019 | A1 |
| 20190213999 | Grupen et al. | Jul 2019 | A1 |
| 20190214024 | Gruber et al. | Jul 2019 | A1 |
| 20190220245 | Martel et al. | Jul 2019 | A1 |
| 20190220246 | Orr et al. | Jul 2019 | A1 |
| 20190220247 | Lemay et al. | Jul 2019 | A1 |
| 20190236130 | Li et al. | Aug 2019 | A1 |
| 20190236459 | Cheyer et al. | Aug 2019 | A1 |
| 20190244618 | Newendorp et al. | Aug 2019 | A1 |
| 20190251339 | Hawker | Aug 2019 | A1 |
| 20190251960 | Maker et al. | Aug 2019 | A1 |
| 20190259386 | Kudurshian et al. | Aug 2019 | A1 |
| 20190272825 | O'Malley et al. | Sep 2019 | A1 |
| 20190272831 | Kajarekar | Sep 2019 | A1 |
| 20190273963 | Jobanputra et al. | Sep 2019 | A1 |
| 20190278841 | Pusateri et al. | Sep 2019 | A1 |
| 20190287522 | Lambourne et al. | Sep 2019 | A1 |
| 20190295544 | Garcia et al. | Sep 2019 | A1 |
| 20190303442 | Peitz et al. | Oct 2019 | A1 |
| 20190310765 | Napolitano et al. | Oct 2019 | A1 |
| 20190318739 | Garg et al. | Oct 2019 | A1 |
| 20190339784 | Lemay et al. | Nov 2019 | A1 |
| 20190341027 | Vescovi et al. | Nov 2019 | A1 |
| 20190341056 | Paulik et al. | Nov 2019 | A1 |
| 20190347063 | Liu et al. | Nov 2019 | A1 |
| 20190348022 | Park et al. | Nov 2019 | A1 |
| 20190354548 | Orr et al. | Nov 2019 | A1 |
| 20190355346 | Bellegarda | Nov 2019 | A1 |
| 20190361729 | Gruber et al. | Nov 2019 | A1 |
| 20190369748 | Hindi et al. | Dec 2019 | A1 |
| 20190369842 | Dolbakian et al. | Dec 2019 | A1 |
| 20190370292 | Irani et al. | Dec 2019 | A1 |
| 20190370323 | Davidson et al. | Dec 2019 | A1 |
| 20190371315 | Newendorp et al. | Dec 2019 | A1 |
| 20190371316 | Weinstein et al. | Dec 2019 | A1 |
| 20190371317 | Irani et al. | Dec 2019 | A1 |
| 20190371331 | Schramm et al. | Dec 2019 | A1 |
| 20190372902 | Piersol | Dec 2019 | A1 |
| 20190373102 | Weinstein et al. | Dec 2019 | A1 |
| 20200019609 | Yu et al. | Jan 2020 | A1 |
| 20200042334 | Radebaugh et al. | Feb 2020 | A1 |
| 20200043482 | Gruber et al. | Feb 2020 | A1 |
| 20200043489 | Bradley et al. | Feb 2020 | A1 |
| 20200044485 | Smith et al. | Feb 2020 | A1 |
| 20200053218 | Gray | Feb 2020 | A1 |
| 20200058299 | Lee et al. | Feb 2020 | A1 |
| 20200075018 | Chen | Mar 2020 | A1 |
| 20200091958 | Curtis et al. | Mar 2020 | A1 |
| 20200092625 | Raffle | Mar 2020 | A1 |
| 20200098362 | Piernot et al. | Mar 2020 | A1 |
| 20200098368 | Lemay et al. | Mar 2020 | A1 |
| 20200104357 | Bellegarda et al. | Apr 2020 | A1 |
| 20200104362 | Yang et al. | Apr 2020 | A1 |
| 20200104369 | Bellegarda | Apr 2020 | A1 |
| 20200104668 | Sanghavi et al. | Apr 2020 | A1 |
| 20200105260 | Piernot et al. | Apr 2020 | A1 |
| 20200118568 | Kudurshian et al. | Apr 2020 | A1 |
| 20200125820 | Kim et al. | Apr 2020 | A1 |
| 20200127988 | Bradley et al. | Apr 2020 | A1 |
| 20200135209 | Delfarah et al. | Apr 2020 | A1 |
| 20200137230 | Spohrer | Apr 2020 | A1 |
| 20200143812 | Walker, II et al. | May 2020 | A1 |
| 20200159579 | Shear et al. | May 2020 | A1 |
| 20200160179 | Chien et al. | May 2020 | A1 |
| 20200169637 | Sanghavi et al. | May 2020 | A1 |
| 20200175566 | Bender et al. | Jun 2020 | A1 |
| 20200184964 | Myers et al. | Jun 2020 | A1 |
| 20200193997 | Piernot et al. | Jun 2020 | A1 |
| 20200221155 | Hansen et al. | Jul 2020 | A1 |
| 20200227034 | Summa et al. | Jul 2020 | A1 |
| 20200227044 | Lindahl | Jul 2020 | A1 |
| 20200249985 | Zeitlin | Aug 2020 | A1 |
| 20200252508 | Gray | Aug 2020 | A1 |
| 20200267222 | Phipps et al. | Aug 2020 | A1 |
| 20200272485 | Karashchuk et al. | Aug 2020 | A1 |
| 20200279556 | Gruber et al. | Sep 2020 | A1 |
| 20200279576 | Binder et al. | Sep 2020 | A1 |
| 20200279627 | Nida et al. | Sep 2020 | A1 |
| 20200285327 | Hindi et al. | Sep 2020 | A1 |
| 20200286472 | Newendorp et al. | Sep 2020 | A1 |
| 20200286493 | Orr et al. | Sep 2020 | A1 |
| 20200302356 | Gruber et al. | Sep 2020 | A1 |
| 20200302919 | Greborio et al. | Sep 2020 | A1 |
| 20200302925 | Shah et al. | Sep 2020 | A1 |
| 20200302932 | Schramm et al. | Sep 2020 | A1 |
| 20200304955 | Gross et al. | Sep 2020 | A1 |
| 20200304972 | Gross et al. | Sep 2020 | A1 |
| 20200305084 | Freeman et al. | Sep 2020 | A1 |
| 20200312317 | Kothari et al. | Oct 2020 | A1 |
| 20200314191 | Madhavan et al. | Oct 2020 | A1 |
| 20200319850 | Stasior et al. | Oct 2020 | A1 |
| 20200327895 | Gruber et al. | Oct 2020 | A1 |
| 20200356243 | Meyer et al. | Nov 2020 | A1 |
| 20200357391 | Ghoshal et al. | Nov 2020 | A1 |
| 20200357406 | York et al. | Nov 2020 | A1 |
| 20200357409 | Sun et al. | Nov 2020 | A1 |
| 20200365155 | Milden | Nov 2020 | A1 |
| 20200372904 | Vescovi et al. | Nov 2020 | A1 |
| 20200374243 | Jina et al. | Nov 2020 | A1 |
| 20200379610 | Ford et al. | Dec 2020 | A1 |
| 20200379640 | Bellegarda et al. | Dec 2020 | A1 |
| 20200379726 | Blatz et al. | Dec 2020 | A1 |
| 20200379727 | Blatz et al. | Dec 2020 | A1 |
| 20200379728 | Gada et al. | Dec 2020 | A1 |
| 20200380389 | Eldeeb et al. | Dec 2020 | A1 |
| 20200380956 | Rossi et al. | Dec 2020 | A1 |
| 20200380963 | Chappidi et al. | Dec 2020 | A1 |
| 20200380966 | Acero et al. | Dec 2020 | A1 |
| 20200380973 | Novitchenko et al. | Dec 2020 | A1 |
| 20200380980 | Shum et al. | Dec 2020 | A1 |
| 20200380985 | Gada et al. | Dec 2020 | A1 |
| 20200382616 | Vaishampayan et al. | Dec 2020 | A1 |
| 20200382635 | Vora et al. | Dec 2020 | A1 |
| Number | Date | Country |
|---|---|---|
| 2014100581 | Sep 2014 | AU |
| 2015203483 | Jul 2015 | AU |
| 2015101171 | Oct 2015 | AU |
| 2018100187 | Mar 2018 | AU |
| 2017222436 | Oct 2018 | AU |
| 2670562 | Jan 2010 | CA |
| 2694314 | Aug 2010 | CA |
| 2792412 | Jul 2011 | CA |
| 2666438 | Jun 2013 | CA |
| 101632316 | Jan 2010 | CN |
| 101636736 | Jan 2010 | CN |
| 101667424 | Mar 2010 | CN |
| 101673544 | Mar 2010 | CN |
| 101751387 | Jun 2010 | CN |
| 101833286 | Sep 2010 | CN |
| 101847405 | Sep 2010 | CN |
| 101855521 | Oct 2010 | CN |
| 101894547 | Nov 2010 | CN |
| 101910960 | Dec 2010 | CN |
| 101923853 | Dec 2010 | CN |
| 101930789 | Dec 2010 | CN |
| 101939740 | Jan 2011 | CN |
| 101951553 | Jan 2011 | CN |
| 101958958 | Jan 2011 | CN |
| 101971250 | Feb 2011 | CN |
| 101992779 | Mar 2011 | CN |
| 102056026 | May 2011 | CN |
| 102122506 | Jul 2011 | CN |
| 102124515 | Jul 2011 | CN |
| 102137085 | Jul 2011 | CN |
| 102137193 | Jul 2011 | CN |
| 102160043 | Aug 2011 | CN |
| 102201235 | Sep 2011 | CN |
| 102214187 | Oct 2011 | CN |
| 102237088 | Nov 2011 | CN |
| 102246136 | Nov 2011 | CN |
| 202035047 | Nov 2011 | CN |
| 102282609 | Dec 2011 | CN |
| 202092650 | Dec 2011 | CN |
| 102340590 | Feb 2012 | CN |
| 102346557 | Feb 2012 | CN |
| 102368256 | Mar 2012 | CN |
| 102402985 | Apr 2012 | CN |
| 102405463 | Apr 2012 | CN |
| 102498457 | Jun 2012 | CN |
| 102510426 | Jun 2012 | CN |
| 102629246 | Aug 2012 | CN |
| 102651217 | Aug 2012 | CN |
| 102681896 | Sep 2012 | CN |
| 102682769 | Sep 2012 | CN |
| 102682771 | Sep 2012 | CN |
| 102685295 | Sep 2012 | CN |
| 102693725 | Sep 2012 | CN |
| 102694909 | Sep 2012 | CN |
| 202453859 | Sep 2012 | CN |
| 102722478 | Oct 2012 | CN |
| 102737104 | Oct 2012 | CN |
| 102750087 | Oct 2012 | CN |
| 102792320 | Nov 2012 | CN |
| 102801853 | Nov 2012 | CN |
| 102820033 | Dec 2012 | CN |
| 102844738 | Dec 2012 | CN |
| 102866828 | Jan 2013 | CN |
| 102870065 | Jan 2013 | CN |
| 102882752 | Jan 2013 | CN |
| 102917004 | Feb 2013 | CN |
| 102917271 | Feb 2013 | CN |
| 102918493 | Feb 2013 | CN |
| 102955652 | Mar 2013 | CN |
| 103035240 | Apr 2013 | CN |
| 103035251 | Apr 2013 | CN |
| 103038728 | Apr 2013 | CN |
| 103093334 | May 2013 | CN |
| 103135916 | Jun 2013 | CN |
| 103198831 | Jul 2013 | CN |
| 103209369 | Jul 2013 | CN |
| 103226949 | Jul 2013 | CN |
| 103236260 | Aug 2013 | CN |
| 103246638 | Aug 2013 | CN |
| 103268315 | Aug 2013 | CN |
| 103280218 | Sep 2013 | CN |
| 103292437 | Sep 2013 | CN |
| 103327063 | Sep 2013 | CN |
| 103365279 | Oct 2013 | CN |
| 103366741 | Oct 2013 | CN |
| 103390016 | Nov 2013 | CN |
| 103412789 | Nov 2013 | CN |
| 103426428 | Dec 2013 | CN |
| 103455234 | Dec 2013 | CN |
| 103456306 | Dec 2013 | CN |
| 103533143 | Jan 2014 | CN |
| 103533154 | Jan 2014 | CN |
| 103543902 | Jan 2014 | CN |
| 103562863 | Feb 2014 | CN |
| 103608859 | Feb 2014 | CN |
| 103645876 | Mar 2014 | CN |
| 103716454 | Apr 2014 | CN |
| 103727948 | Apr 2014 | CN |
| 103744761 | Apr 2014 | CN |
| 103760984 | Apr 2014 | CN |
| 103765385 | Apr 2014 | CN |
| 103792985 | May 2014 | CN |
| 103794212 | May 2014 | CN |
| 103795850 | May 2014 | CN |
| 103841268 | Jun 2014 | CN |
| 103902373 | Jul 2014 | CN |
| 103930945 | Jul 2014 | CN |
| 103959751 | Jul 2014 | CN |
| 203721183 | Jul 2014 | CN |
| 103971680 | Aug 2014 | CN |
| 104007832 | Aug 2014 | CN |
| 104038621 | Sep 2014 | CN |
| 104090652 | Oct 2014 | CN |
| 104113471 | Oct 2014 | CN |
| 104125322 | Oct 2014 | CN |
| 104144377 | Nov 2014 | CN |
| 104169837 | Nov 2014 | CN |
| 104180815 | Dec 2014 | CN |
| 104243699 | Dec 2014 | CN |
| 104281259 | Jan 2015 | CN |
| 104284257 | Jan 2015 | CN |
| 104335207 | Feb 2015 | CN |
| 104335234 | Feb 2015 | CN |
| 104374399 | Feb 2015 | CN |
| 104423625 | Mar 2015 | CN |
| 104427104 | Mar 2015 | CN |
| 104463552 | Mar 2015 | CN |
| 104487929 | Apr 2015 | CN |
| 104516522 | Apr 2015 | CN |
| 104573472 | Apr 2015 | CN |
| 104575501 | Apr 2015 | CN |
| 104584010 | Apr 2015 | CN |
| 104604274 | May 2015 | CN |
| 104679472 | Jun 2015 | CN |
| 104769584 | Jul 2015 | CN |
| 104854583 | Aug 2015 | CN |
| 104869342 | Aug 2015 | CN |
| 104951077 | Sep 2015 | CN |
| 104967748 | Oct 2015 | CN |
| 104969289 | Oct 2015 | CN |
| 104978963 | Oct 2015 | CN |
| 105025051 | Nov 2015 | CN |
| 105027197 | Nov 2015 | CN |
| 105093526 | Nov 2015 | CN |
| 105100356 | Nov 2015 | CN |
| 105190607 | Dec 2015 | CN |
| 105247511 | Jan 2016 | CN |
| 105264524 | Jan 2016 | CN |
| 105278681 | Jan 2016 | CN |
| 105320251 | Feb 2016 | CN |
| 105320726 | Feb 2016 | CN |
| 105379234 | Mar 2016 | CN |
| 105430186 | Mar 2016 | CN |
| 105471705 | Apr 2016 | CN |
| 105472587 | Apr 2016 | CN |
| 105556592 | May 2016 | CN |
| 105808200 | Jul 2016 | CN |
| 105830048 | Aug 2016 | CN |
| 105869641 | Aug 2016 | CN |
| 106030699 | Oct 2016 | CN |
| 106062734 | Oct 2016 | CN |
| 106415412 | Feb 2017 | CN |
| 106462383 | Feb 2017 | CN |
| 106463114 | Feb 2017 | CN |
| 106465074 | Feb 2017 | CN |
| 106534469 | Mar 2017 | CN |
| 106776581 | May 2017 | CN |
| 107450800 | Dec 2017 | CN |
| 107480161 | Dec 2017 | CN |
| 107491468 | Dec 2017 | CN |
| 107545262 | Jan 2018 | CN |
| 107608998 | Jan 2018 | CN |
| 107615378 | Jan 2018 | CN |
| 107871500 | Apr 2018 | CN |
| 107919123 | Apr 2018 | CN |
| 107924313 | Apr 2018 | CN |
| 107978313 | May 2018 | CN |
| 108647681 | Oct 2018 | CN |
| 109447234 | Mar 2019 | CN |
| 109657629 | Apr 2019 | CN |
| 110135411 | Aug 2019 | CN |
| 110531860 | Dec 2019 | CN |
| 110598671 | Dec 2019 | CN |
| 110647274 | Jan 2020 | CN |
| 110825469 | Feb 2020 | CN |
| 202016008226 | May 2017 | DE |
| 2144226 | Jan 2010 | EP |
| 2168399 | Mar 2010 | EP |
| 1720375 | Jul 2010 | EP |
| 2205010 | Jul 2010 | EP |
| 2250640 | Nov 2010 | EP |
| 2309491 | Apr 2011 | EP |
| 2329348 | Jun 2011 | EP |
| 2339576 | Jun 2011 | EP |
| 2355093 | Aug 2011 | EP |
| 2393056 | Dec 2011 | EP |
| 2400373 | Dec 2011 | EP |
| 2431842 | Mar 2012 | EP |
| 2523109 | Nov 2012 | EP |
| 2523188 | Nov 2012 | EP |
| 2551784 | Jan 2013 | EP |
| 2555536 | Feb 2013 | EP |
| 2575128 | Apr 2013 | EP |
| 2632129 | Aug 2013 | EP |
| 2639792 | Sep 2013 | EP |
| 2669889 | Dec 2013 | EP |
| 2672229 | Dec 2013 | EP |
| 2672231 | Dec 2013 | EP |
| 2675147 | Dec 2013 | EP |
| 2680257 | Jan 2014 | EP |
| 2683147 | Jan 2014 | EP |
| 2683175 | Jan 2014 | EP |
| 2717259 | Apr 2014 | EP |
| 2725577 | Apr 2014 | EP |
| 2733598 | May 2014 | EP |
| 2733896 | May 2014 | EP |
| 2743846 | Jun 2014 | EP |
| 2760015 | Jul 2014 | EP |
| 2781883 | Sep 2014 | EP |
| 2787683 | Oct 2014 | EP |
| 2801890 | Nov 2014 | EP |
| 2801972 | Nov 2014 | EP |
| 2801974 | Nov 2014 | EP |
| 2824564 | Jan 2015 | EP |
| 2849177 | Mar 2015 | EP |
| 2879402 | Jun 2015 | EP |
| 2881939 | Jun 2015 | EP |
| 2891049 | Jul 2015 | EP |
| 2930715 | Oct 2015 | EP |
| 2938022 | Oct 2015 | EP |
| 2940556 | Nov 2015 | EP |
| 2947859 | Nov 2015 | EP |
| 2950307 | Dec 2015 | EP |
| 2957986 | Dec 2015 | EP |
| 2985984 | Feb 2016 | EP |
| 2891049 | Mar 2016 | EP |
| 3032532 | Jun 2016 | EP |
| 3035329 | Jun 2016 | EP |
| 3038333 | Jun 2016 | EP |
| 3115905 | Jan 2017 | EP |
| 3125097 | Feb 2017 | EP |
| 3224708 | Oct 2017 | EP |
| 3246916 | Nov 2017 | EP |
| 3300074 | Mar 2018 | EP |
| 2983065 | Aug 2018 | EP |
| 3392876 | Oct 2018 | EP |
| 3401773 | Nov 2018 | EP |
| 3506151 | Jul 2019 | EP |
| 2470585 | Dec 2010 | GB |
| 2010-66519 | Mar 2010 | JP |
| 2010-78602 | Apr 2010 | JP |
| 2010-78979 | Apr 2010 | JP |
| 2010-108378 | May 2010 | JP |
| 2010-109789 | May 2010 | JP |
| 2010-518475 | May 2010 | JP |
| 2010-518526 | May 2010 | JP |
| 2010-122928 | Jun 2010 | JP |
| 2010-135976 | Jun 2010 | JP |
| 2010-146347 | Jul 2010 | JP |
| 2010-157207 | Jul 2010 | JP |
| 2010-166478 | Jul 2010 | JP |
| 2010-205111 | Sep 2010 | JP |
| 2010-224236 | Oct 2010 | JP |
| 2010-236858 | Oct 2010 | JP |
| 4563106 | Oct 2010 | JP |
| 2010-256392 | Nov 2010 | JP |
| 2010-535377 | Nov 2010 | JP |
| 2010-287063 | Dec 2010 | JP |
| 2011-33874 | Feb 2011 | JP |
| 2011-41026 | Feb 2011 | JP |
| 2011-45005 | Mar 2011 | JP |
| 2011-59659 | Mar 2011 | JP |
| 2011-81541 | Apr 2011 | JP |
| 2011-525045 | Sep 2011 | JP |
| 2011-237621 | Nov 2011 | JP |
| 2011-238022 | Nov 2011 | JP |
| 2011-250027 | Dec 2011 | JP |
| 2012-14394 | Jan 2012 | JP |
| 2012-502377 | Jan 2012 | JP |
| 2012-22478 | Feb 2012 | JP |
| 2012-33997 | Feb 2012 | JP |
| 2012-37619 | Feb 2012 | JP |
| 2012-63536 | Mar 2012 | JP |
| 2012-508530 | Apr 2012 | JP |
| 2012-89020 | May 2012 | JP |
| 2012-116442 | Jun 2012 | JP |
| 2012-142744 | Jul 2012 | JP |
| 2012-147063 | Aug 2012 | JP |
| 2012-150804 | Aug 2012 | JP |
| 2012-518847 | Aug 2012 | JP |
| 2012-211932 | Nov 2012 | JP |
| 2013-037688 | Feb 2013 | JP |
| 2013-46171 | Mar 2013 | JP |
| 2013-511214 | Mar 2013 | JP |
| 2013-65284 | Apr 2013 | JP |
| 2013-73240 | Apr 2013 | JP |
| 2013-513315 | Apr 2013 | JP |
| 2013-80476 | May 2013 | JP |
| 2013-517566 | May 2013 | JP |
| 2013-134430 | Jul 2013 | JP |
| 2013-134729 | Jul 2013 | JP |
| 2013-140520 | Jul 2013 | JP |
| 2013-527947 | Jul 2013 | JP |
| 2013-528012 | Jul 2013 | JP |
| 2013-148419 | Aug 2013 | JP |
| 2013-156349 | Aug 2013 | JP |
| 2013-200423 | Oct 2013 | JP |
| 2013-205999 | Oct 2013 | JP |
| 2013-238936 | Nov 2013 | JP |
| 2013-258600 | Dec 2013 | JP |
| 2014-2586 | Jan 2014 | JP |
| 2014-10688 | Jan 2014 | JP |
| 20145-2445 | Jan 2014 | JP |
| 2014-26629 | Feb 2014 | JP |
| 2014-45449 | Mar 2014 | JP |
| 2014-507903 | Mar 2014 | JP |
| 2014-60600 | Apr 2014 | JP |
| 2014-72586 | Apr 2014 | JP |
| 2014-77969 | May 2014 | JP |
| 2014-89711 | May 2014 | JP |
| 2014-109889 | Jun 2014 | JP |
| 2014-124332 | Jul 2014 | JP |
| 2014-126600 | Jul 2014 | JP |
| 2014-140121 | Jul 2014 | JP |
| 2014-518409 | Jul 2014 | JP |
| 2014-142566 | Aug 2014 | JP |
| 2014-145842 | Aug 2014 | JP |
| 2014-146940 | Aug 2014 | JP |
| 2014-150323 | Aug 2014 | JP |
| 2014-519648 | Aug 2014 | JP |
| 2014-191272 | Oct 2014 | JP |
| 2014-219614 | Nov 2014 | JP |
| 2014-222514 | Nov 2014 | JP |
| 2015-4928 | Jan 2015 | JP |
| 2015-8001 | Jan 2015 | JP |
| 2015-12301 | Jan 2015 | JP |
| 2015-18365 | Jan 2015 | JP |
| 2015-501022 | Jan 2015 | JP |
| 2015-504619 | Feb 2015 | JP |
| 2015-41845 | Mar 2015 | JP |
| 2015-52500 | Mar 2015 | JP |
| 2015-60423 | Mar 2015 | JP |
| 2015-81971 | Apr 2015 | JP |
| 2015-83938 | Apr 2015 | JP |
| 2015-94848 | May 2015 | JP |
| 2015-514254 | May 2015 | JP |
| 2015-519675 | Jul 2015 | JP |
| 2015-524974 | Aug 2015 | JP |
| 2015-526776 | Sep 2015 | JP |
| 2015-527683 | Sep 2015 | JP |
| 2015-528140 | Sep 2015 | JP |
| 2015-528918 | Oct 2015 | JP |
| 2015-531909 | Nov 2015 | JP |
| 2016-504651 | Feb 2016 | JP |
| 2016-508007 | Mar 2016 | JP |
| 2016-71247 | May 2016 | JP |
| 2016-119615 | Jun 2016 | JP |
| 2016-151928 | Aug 2016 | JP |
| 2016-524193 | Aug 2016 | JP |
| 2016-536648 | Nov 2016 | JP |
| 2017-19331 | Jan 2017 | JP |
| 2017-516153 | Jun 2017 | JP |
| 2017-537361 | Dec 2017 | JP |
| 6291147 | Feb 2018 | JP |
| 2018-525950 | Sep 2018 | JP |
| 10-2010-0015958 | Feb 2010 | KR |
| 10-2010-0048571 | May 2010 | KR |
| 10-2010-0053149 | May 2010 | KR |
| 10-2010-0119519 | Nov 2010 | KR |
| 10-2011-0005937 | Jan 2011 | KR |
| 10-2011-0013625 | Feb 2011 | KR |
| 10-2011-0043644 | Apr 2011 | KR |
| 10-1032792 | May 2011 | KR |
| 10-2011-0068490 | Jun 2011 | KR |
| 10-2011-0072847 | Jun 2011 | KR |
| 10-2011-0086492 | Jul 2011 | KR |
| 10-2011-0100620 | Sep 2011 | KR |
| 10-2011-0113414 | Oct 2011 | KR |
| 10-2011-0115134 | Oct 2011 | KR |
| 10-2012-0020164 | Mar 2012 | KR |
| 10-2012-0031722 | Apr 2012 | KR |
| 10-2012-0066523 | Jun 2012 | KR |
| 10-2012-0082371 | Jul 2012 | KR |
| 10-2012-0084472 | Jul 2012 | KR |
| 10-1178310 | Aug 2012 | KR |
| 10-2012-0120316 | Nov 2012 | KR |
| 10-2012-0137424 | Dec 2012 | KR |
| 10-2012-0137435 | Dec 2012 | KR |
| 10-2012-0137440 | Dec 2012 | KR |
| 10-2012-0138826 | Dec 2012 | KR |
| 10-2012-0139827 | Dec 2012 | KR |
| 10-1193668 | Dec 2012 | KR |
| 10-2013-0035983 | Apr 2013 | KR |
| 10-2013-0090947 | Aug 2013 | KR |
| 10-2013-0108563 | Oct 2013 | KR |
| 10-1334342 | Nov 2013 | KR |
| 10-2013-0131252 | Dec 2013 | KR |
| 10-2013-0133629 | Dec 2013 | KR |
| 10-2014-0024271 | Feb 2014 | KR |
| 10-2014-0031283 | Mar 2014 | KR |
| 10-2014-0033574 | Mar 2014 | KR |
| 10-2014-0042994 | Apr 2014 | KR |
| 10-2014-0055204 | May 2014 | KR |
| 10-2014-0068752 | Jun 2014 | KR |
| 10-2014-0088449 | Jul 2014 | KR |
| 10-2014-0106715 | Sep 2014 | KR |
| 10-2014-0147557 | Dec 2014 | KR |
| 10-2015-0013631 | Feb 2015 | KR |
| 10-1506510 | Mar 2015 | KR |
| 10-2015-0038375 | Apr 2015 | KR |
| 10-2015-0039380 | Apr 2015 | KR |
| 10-2015-0041974 | Apr 2015 | KR |
| 10-2015-0043512 | Apr 2015 | KR |
| 10-2015-0095624 | Aug 2015 | KR |
| 10-1555742 | Sep 2015 | KR |
| 10-2015-0113127 | Oct 2015 | KR |
| 10-2015-0138109 | Dec 2015 | KR |
| 10-2016-0004351 | Jan 2016 | KR |
| 10-2016-0010523 | Jan 2016 | KR |
| 10-2016-0040279 | Apr 2016 | KR |
| 10-2016-0055839 | May 2016 | KR |
| 10-2016-0065503 | Jun 2016 | KR |
| 10-2016-0101198 | Aug 2016 | KR |
| 10-2016-0105847 | Sep 2016 | KR |
| 10-2016-0121585 | Oct 2016 | KR |
| 10-2016-0140694 | Dec 2016 | KR |
| 10-2017-0036805 | Apr 2017 | KR |
| 10-2017-0107058 | Sep 2017 | KR |
| 10-2018-0032632 | Mar 2018 | KR |
| 10-2018-0034637 | Apr 2018 | KR |
| 201018258 | May 2010 | TW |
| 201027515 | Jul 2010 | TW |
| 201028996 | Aug 2010 | TW |
| 201110108 | Mar 2011 | TW |
| 201142823 | Dec 2011 | TW |
| 201227715 | Jul 2012 | TW |
| 201245989 | Nov 2012 | TW |
| 201312548 | Mar 2013 | TW |
| 2010013369 | Feb 2010 | WO |
| 201054373 | May 2010 | WO |
| 201075623 | Jul 2010 | WO |
| 2010100937 | Sep 2010 | WO |
| 2010141802 | Dec 2010 | WO |
| 2010144651 | Dec 2010 | WO |
| 2011028842 | Mar 2011 | WO |
| 201157346 | May 2011 | WO |
| 201160106 | May 2011 | WO |
| 2011082521 | Jul 2011 | WO |
| 201188053 | Jul 2011 | WO |
| 201193025 | Aug 2011 | WO |
| 2011100142 | Aug 2011 | WO |
| 2011116309 | Sep 2011 | WO |
| 2011123122 | Oct 2011 | WO |
| 2011133543 | Oct 2011 | WO |
| 2011133573 | Oct 2011 | WO |
| 2011097309 | Dec 2011 | WO |
| 2011150730 | Dec 2011 | WO |
| 2011163350 | Dec 2011 | WO |
| 201188053 | Jan 2012 | WO |
| 2012008434 | Jan 2012 | WO |
| 2012019020 | Feb 2012 | WO |
| 201219637 | Feb 2012 | WO |
| 2012063260 | May 2012 | WO |
| 2012092562 | Jul 2012 | WO |
| 2012112331 | Aug 2012 | WO |
| 2012129231 | Sep 2012 | WO |
| 2012063260 | Oct 2012 | WO |
| 2012135157 | Oct 2012 | WO |
| 2012154317 | Nov 2012 | WO |
| 2012154748 | Nov 2012 | WO |
| 2012155079 | Nov 2012 | WO |
| 2012167168 | Dec 2012 | WO |
| 2012173902 | Dec 2012 | WO |
| 20139578 | Jan 2013 | WO |
| 201322135 | Feb 2013 | WO |
| 201322223 | Feb 2013 | WO |
| 201348880 | Apr 2013 | WO |
| 201349358 | Apr 2013 | WO |
| 2013057153 | Apr 2013 | WO |
| 2013118988 | Aug 2013 | WO |
| 2013122310 | Aug 2013 | WO |
| 2013133533 | Sep 2013 | WO |
| 2013137660 | Sep 2013 | WO |
| 2013163113 | Oct 2013 | WO |
| 2013163857 | Nov 2013 | WO |
| 2013169842 | Nov 2013 | WO |
| 2013173504 | Nov 2013 | WO |
| 2013173511 | Nov 2013 | WO |
| 2013176847 | Nov 2013 | WO |
| 2013184953 | Dec 2013 | WO |
| 2013184990 | Dec 2013 | WO |
| 20143138 | Jan 2014 | WO |
| 2014004544 | Jan 2014 | WO |
| 201421967 | Feb 2014 | WO |
| 201422148 | Feb 2014 | WO |
| 2014028735 | Feb 2014 | WO |
| 201428797 | Feb 2014 | WO |
| 201431505 | Feb 2014 | WO |
| 2014032461 | Mar 2014 | WO |
| 201447047 | Mar 2014 | WO |
| 201466352 | May 2014 | WO |
| 201470872 | May 2014 | WO |
| 201478965 | May 2014 | WO |
| 2014093339 | Jun 2014 | WO |
| 201496506 | Jun 2014 | WO |
| 2014124332 | Aug 2014 | WO |
| 2014137074 | Sep 2014 | WO |
| 2014138604 | Sep 2014 | WO |
| 2014143959 | Sep 2014 | WO |
| 2014144395 | Sep 2014 | WO |
| 2014144579 | Sep 2014 | WO |
| 2014144949 | Sep 2014 | WO |
| 2014151153 | Sep 2014 | WO |
| 2014124332 | Oct 2014 | WO |
| 2014159578 | Oct 2014 | WO |
| 2014159581 | Oct 2014 | WO |
| 2014162570 | Oct 2014 | WO |
| 2014169269 | Oct 2014 | WO |
| 2014173189 | Oct 2014 | WO |
| 2013173504 | Dec 2014 | WO |
| 2014197336 | Dec 2014 | WO |
| 2014197635 | Dec 2014 | WO |
| 2014197730 | Dec 2014 | WO |
| 2014200728 | Dec 2014 | WO |
| 2014204659 | Dec 2014 | WO |
| 2014210392 | Dec 2014 | WO |
| 201518440 | Feb 2015 | WO |
| 2015020942 | Feb 2015 | WO |
| 201529379 | Mar 2015 | WO |
| 201530796 | Mar 2015 | WO |
| 2015041882 | Mar 2015 | WO |
| 201541892 | Mar 2015 | WO |
| 2015047932 | Apr 2015 | WO |
| 2015053485 | Apr 2015 | WO |
| 201584659 | Jun 2015 | WO |
| 201592943 | Jun 2015 | WO |
| 201594169 | Jun 2015 | WO |
| 201594369 | Jun 2015 | WO |
| 2015098306 | Jul 2015 | WO |
| 201599939 | Jul 2015 | WO |
| 2015116151 | Aug 2015 | WO |
| 2015151133 | Oct 2015 | WO |
| 2015153310 | Oct 2015 | WO |
| 2015157013 | Oct 2015 | WO |
| 2015183401 | Dec 2015 | WO |
| 2015183699 | Dec 2015 | WO |
| 2015184186 | Dec 2015 | WO |
| 2015184387 | Dec 2015 | WO |
| 2015200207 | Dec 2015 | WO |
| 201627933 | Feb 2016 | WO |
| 201628946 | Feb 2016 | WO |
| 201633257 | Mar 2016 | WO |
| 2016039992 | Mar 2016 | WO |
| 2016052164 | Apr 2016 | WO |
| 201654230 | Apr 2016 | WO |
| 201657268 | Apr 2016 | WO |
| 201675081 | May 2016 | WO |
| 201685775 | Jun 2016 | WO |
| 2016085776 | Jun 2016 | WO |
| 2016100139 | Jun 2016 | WO |
| 2016111881 | Jul 2016 | WO |
| 2016144840 | Sep 2016 | WO |
| 2016144982 | Sep 2016 | WO |
| 2016144983 | Sep 2016 | WO |
| 2016175354 | Nov 2016 | WO |
| 2016187149 | Nov 2016 | WO |
| 2016190950 | Dec 2016 | WO |
| 2016209444 | Dec 2016 | WO |
| 2016209924 | Dec 2016 | WO |
| 2017044160 | Mar 2017 | WO |
| 2017044257 | Mar 2017 | WO |
| 201744260 | Mar 2017 | WO |
| 201744629 | Mar 2017 | WO |
| 201753311 | Mar 2017 | WO |
| 2017058293 | Apr 2017 | WO |
| 2017059388 | Apr 2017 | WO |
| 2017071420 | May 2017 | WO |
| 2017142116 | Aug 2017 | WO |
| 2017160487 | Sep 2017 | WO |
| 2017213682 | Dec 2017 | WO |
| 2018009397 | Jan 2018 | WO |
| 2018213401 | Nov 2018 | WO |
| 2018213415 | Nov 2018 | WO |
| 2019067930 | Apr 2019 | WO |
| 2019078576 | Apr 2019 | WO |
| 2019079017 | Apr 2019 | WO |
| 2019147429 | Aug 2019 | WO |
| 2019236217 | Dec 2019 | WO |
| 2020010530 | Jan 2020 | WO |
| Entry |
|---|
| Aaaaplay, “Sony Media Remote for iOS and Android”, Online available at: <https://www.youtube.com/watch?v=W8QoeQhlGok>, Feb. 4, 2012, 3 pages. |
| Android Authority, “How to use Tasker: A Beginner's Guide”, Online available at:—<https://youtube.com/watch?v= rDpdS_YWzFc>, May 1, 2013, 1 page. |
| Automate Your Life, “How to Setup Google Home Routines - A Google Home Routines Walkthrough”, Online Available at: <https://www.youtube.com/watch7v=pXokZHP9kZg>, Aug. 12, 2018, 1 page. |
| Bell, Jason, “Machine Learning Hands-On for Developers and Technical Professionals”, Wiley, 2014, 82 pages. |
| Bellegarda, Jeromer, “Chapter 1: Spoken Language Understanding for Natural Interaction: The Siri Experience”, Natural Interaction with Robots, Knowbots and Smartphones, 2014, pp. 3-14. |
| Bellegarda, Jeromer, “Spoken Language Understanding for Natural Interaction: The Siri Experience”, Slideshow retrieved from : <https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.iwsds2012/files/Bellegarda.pdf>, International Workshop on Spoken Dialog Systems (IWSDS), May 2012, pp. 1-43. |
| beointegration.com, “BeoLink Gateway—Programming Example”, Online Available at: <https:/ /www.youtube.com/watch?v=TXDaJFm5UH4>, Mar. 4, 2015, 3 pages. |
| Burgess, Brian, “Amazon Echo Tip: Enable the Wake Up Sound”, Online available at:—<https://www.groovypost.com/howto/amazon-echo-tip-enable-wake-up-sound/>, Jun. 30, 2015, 4 pages. |
| Chang et al., “Monaural Multi-Talker Speech Recognition with Attention Mechanism and Gated Convolutional Networks”, Interspeech 2018, Sep. 2-6, 2018, pp. 1586-1590. |
| Chen et al., “A Convolutional Neural Network with Dynamic Correlation Pooling”, 13th International Conference on Computational Intelligence and Security, IEEE, 2017, pp. 496-499. |
| Chen, Yi, “Multimedia Siri Finds and Plays Whatever You Ask For”, PSFK Report, Feb. 9, 2012, pp. 1-9. |
| Conneau et al., “Supervised Learning of Universal Sentence Representations from Natural Language Inference Data”, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, Sep. 7-11, 2017, pp. 670-680. |
| Coulouris et al., “Distributed Systems: Concepts and Design (Fifth Edition)”, Addison-Wesley, 2012, 391 pages. |
| Czech Lucas, “A System for Recognizing Natural Spelling of English Words”, Diploma Thesis, Karlsruhe Institute of Technology, May 7, 2014, 107 pages. |
| Delcroix et al., “Context Adaptive Deep Neural Networks For Fast Acoustic Model Adaptation”, ICASSP, 2015, pp. 4535-4539. |
| Delcroix et al., “Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models”, Interspeech 2016, Sep. 8-12, 2016, pp. 1573-1577. |
| Derrick, Amanda, “How to Set Up Google Home for Multiple Users”, Lifewire, Online available at:—<https://www.lifewire.com/set-up-google-home-multiple-users-4685691 >, Jun. 8, 2020, 9 pages. |
| Detroitborg, “Apple Remote App (iPhone & iPod Touch): Tutorial and Demo”, Online Available at:—<https://www.youtube.com/watch?v=M_jzeEevKql>, Oct. 13, 2010, 4 pages. |
| Dihelson, “How Can I Use Voice or Phrases as Triggers to Macrodroid?”, Macrodroid Forums, Online Available at:—<https://www.tapatalk.com/groups/macrodroid/how-can-i-use-voice-or-phrases-as-triggers-to-macr-t4845.html>, May 9, 2018, 5 pages. |
| Eder et al., “At the Lower End of Language—Exploring the Vulgar and Obscene Side of German”, Proceedings of the Third Workshop on Abusive Language Online, Florence, Italy, Aug. 1, 2019, pp. 119-128. |
| Gadget Hacks, “Tasker Too Complicated? Give MacroDroid a Try [How-To]”, Online available at: <https://www.youtube.com/watch?v=8YL9cWCykKc>, May 27, 2016, 1 page. |
| Gasic et al., “Effective Handling of Dialogue State in the Hidden Information State POMDP-based Dialogue Manager”, ACM Transactions on Speech and Language Processing, May 2011, pp. 1-25. |
| Ghauth et al., “Text Censoring System for Filtering Malicious Content Using Approximate String Matching and Bayesian Filtering”, Proc. 4th INNS Symposia Series on Computational Intelligence in Information Systems, Bandar Seri Begawan, Brunei, 2015, pp. 149-158. |
| Gupta et al., “I-vector-based Speaker Adaptation Of Deep Neural Networks For French Broadcast Audio Transcription”, ICASSP, 2014, 2014, pp. 6334-6338. |
| Gupta, Naresh, “Inside Bluetooth Low Energy”, Artech House, 2013, 274 pages. |
| Hershey et al., “Deep Clustering: Discriminative Embeddings For Segmentation And Separation”, Proc. ICASSP, Mar. 2016, 6 pages. |
| Hutsko et al., “iPhone All-in-One For Dummies”, 3rd Edition, 2013, 98 pages. |
| Ikeda, Masaru, “beGLOBAL Seoul 2015 Startup Battle: Talkey”, YouTube Publisher, Online Available at:—<https://www.youtube.com/watch?v=4Wkp7sAAIdg>, May 14, 2015, 1 page. |
| Internet Services and Social Net, “How to Search for Similar Websites”, Online available at:—<https://www.youtube.com/watch?v=nLf2uirpt5s>, see from 0:17 to 1:06, Jul. 4, 2013, 1 page. |
| “IPhone 6 Smart Guide Full Version for SoftBank”, Gijutsu-Hyohron Co., Ltd., vol. 1, Dec. 1, 2014, 4 pages (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Isik et al., “Single-Channel Multi-Speaker Separation using Deep Clustering”, Interspeech 2016, Sep. 8-12, 2016, pp. 545-549. |
| Kastrenakes, Jacob, “Siri's creators will unveil their new AI bot on Monday”, The Verge, Online available at:—<https://web.archive.org/web/20160505090418/https://www.theverge.com/2016/5/4/11593564/viv-labs-unveiling-monday-new-ai-from-siri-creators>, May 4, 2016, 3 pages. |
| King et al., “Robust Speech Recognition Via Anchor Word Representations”, Interspeech 2017, Aug. 20-24, 2017, pp. 2471-2475. |
| Lee, Sungjin, “Structured Discriminative Model For Dialog State Tracking”, Proceedings of the SIGDIAL 2013 Conference, Aug. 22-24, 2013, pp. 442-451. |
| “Link Your Voice to Your Devices with Voice Match, Google Assistant Help”, Online available at:—<https://support.google.com/assistant/answer/9071681?co=GENIE.Platform%3DAndroid&hl=en>, Retrieved on Jul. 1, 2020, 2 pages. |
| Liu et al., “Accurate Endpointing with Expected Pause Duration”, Sep. 6-10, 2015, pp. 2912-2916. |
| Loukides et al., “What Is the Internet of Things?”, O'Reilly Media, Inc., Online Available at: <https://www.oreilly.com/library/view/what-is-the/9781491975633/>, 2015, 31 pages. |
| Luo et al., “Speaker-Independent Speech Separation With Deep Attractor Network”, IEEE/ACM Transactions On Audio, Speech, And Language Processing, vol. 26, No. 4, Apr. 2018, pp. 787-796. |
| Malcangi Mario, “Text-driven Avatars Based on Artificial Neural Networks and Fuzzy Logic”, International Journal of Computers, vol. 4, No. 2, Dec. 31, 2010, pp. 61-69. |
| Modern Techies,“Braina-Artificial Personal Assistant for PC(like Cortana,Siri)!!!!”, Online available at: <https://www.youtube.com/watch?v=_Coo2P8ilqQ>, Feb. 24, 2017, 3 pages. |
| Nakamura et al., “Realization of a Browser to Filter Spoilers Dynamically”, vol. No. 67, 2010, 8 pages (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Nakamura et al., “Study of Information Clouding Methods to Prevent Spoilers of Sports Match”, Proceedings of the International Working Conference on Advanced Visual Interfaces (AVI' 12), ISBN: 978-1-4503-1287-5, May 2012, pp. 661-664. |
| Nakamura et al., “Study of Methods to Diminish Spoilers of Sports Match: Potential of a Novel Concept “Information Clouding””, vol. 54, No. 4, ISSN: 1882-7764. Online available at: <https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=91589&item_no=1>, Apr. 2013, pp. 1402-1412 (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Nakamura Satoshi, “Antispoiler: An Web Browser to Filter Spoiler”, vol. 2010-HCL-139 No. 17, Online available at:—<https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=70067&item_no=1>, Jul. 31, 2010, 8 pages (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Pak, Gamerz, “Braina: Artificially Intelligent Assistant Software for Windows PC in (urdu / hindhi)”, Online available at: <https://www.youtube.com/watch?v=JH_rMjw8lqc>, Jul. 24, 2018, 3 pages. |
| PC Mag, “How to Voice Train Your Google Home Smart Speaker”, Online available at: <https://in.pcmag.com/google-home/126520/how-to-voice-train-your-google-home-smart-speaker>, Oct. 25, 2018, 12 pages. |
| “Phoenix Solutions, Inc. v. West Interactive Corp.”, Document 40, Declaration of Christopher Schmandt Regarding the MIT Galaxy System, Jul. 2, 2010, 162 pages. |
| pocketables.com,“AutoRemote example profile”, Online available at: https://www.youtube.com/watch?v=kC_zhUnNZj8, Jun. 25, 2013, 1 page. |
| Qian et al., “Single-channel Multi-talker Speech Recognition With Permutation Invariant Training”, Speech Communication, Issue 104, 2018, pp. 1-11. |
| Rasch, Katharina, “Smart Assistants for Smart Homes”, Doctoral Thesis in Electronic and Computer Systems, 2013, 150 pages. |
| Ritchie, Rene, “QuickType keyboard in iOS 8: Explained”, Online Available at:—<https://www.imore.com/quicktype-keyboards-ios-8-explained>, Jun. 21, 2014, pp. 1-19. |
| Rowland et al., “Designing Connected Products: UX for the Consumer Internet of Things”, O'Reilly, May 2015, 452 pages. |
| Samsung Support, “Create a Quick Command in Bixby to Launch Custom Settings by at Your Command”, Online Available at:—<https://www.facebook.com/samsungsupport/videos/10154746303151213>, Nov. 13, 2017, 1 page. |
| Santos et al., “Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer”, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (vol. 2: Short Papers), May 20, 2018, 6 pages. |
| Senior et al., “Improving DNN Speaker Independence With I-Vector Inputs”, ICASSP, 2014, pp. 225-229. |
| Seroter et al., “SOA Patterns with BizTalk Server 2013 and Microsoft Azure”, Packt Publishing, Jun. 2015, 454 pages. |
| Settle et al., “End-to-End Multi-Speaker Speech Recognition”, Proc. ICASSP, Apr. 2018, 6 pages. |
| Shen et al., “Style Transfer from Non-Parallel Text by Cross-Alignment”, 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017, 12 pages. |
| Siou, Serge, “How To Control Apple TV 3rd Generation Using Remote app”, Online available at: <https://www.youtube.com/watch?v=PhyKftZ0S9M>, May 12, 2014, 3 pages. |
| “Skilled at Playing my iPhone 5”, Beijing Hope Electronic Press, Jan. 2013, 6 pages (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Smith, Jake, “Amazon Alexa Calling: How to Set it up and Use it on Your Echo”, iGeneration, May 30, 2017, 5 pages. |
| Tan et al., “Knowledge Transfer In Permutation Invariant Training For Single-channel Multi-talker Speech Recognition”, ICASSP 2018, 2018, pp. 5714-5718. |
| Vaswani et al., “Attention Is All You Need”, 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017, pp. 1-11. |
| Mllemure et al., “The Dragon Drive Innovation Showcase: Advancing the State-of-the-art in Automotive Assistants”, 2018, 7 pages. |
| Wang et al., “End-to-end Anchored Speech Recognition”, Proc. ICASSP2019, May 12-17, 2019, 5 pages. |
| Weng et al., “Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition”, IEEE/ACM Transactions On Audio, Speech, And Language Processing, vol. 23, No. 10, Oct. 2015, pp. 1670-1679. |
| Wikipedia, “Home Automation”, Online Available at:—<https://en.wikipedia.org/w/index.php?title=Home_automation&oldid=686569068>, Oct. 19, 2015, 9 pages. |
| Wikipedia, “Siri”, Online Available at:—<https://en.wikipedia.org/w/index.php?title=Siri&oldid=689697795>, Nov. 8, 2015, 13 Pages. |
| Wikipedia, “Virtual Assistant”, Wikipedia, Online Available at:—<https://en.wikipedia.org/w/index.php?title=Virtual_assistant&oldid=679330666>, Sep. 3, 2015, 4 pages. |
| Yang Astor, “Control Android TV via Mobile Phone APP RKRemoteControl”, Online Available at : <https://www.youtube.com/watch?v=zpmUeOX_xro>, Mar. 31, 2015, 4 pages. |
| Ye et al., “iPhone 4S Native Secret”, Jun. 30, 2012, 1 page (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Yeh Jui-Feng, “Speech Act Identification Using Semantic Dependency Graphs With Probabilistic Context-free Grammars”, ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 15, No. 1, Dec. 2015, pp. 5.1-5.28. |
| Yousef, Zulfikara., “Braina (A.I) Artificial Intelligence Virtual Personal Assistant”, Online available at:—<https://www.youtube.com/watch?v=2h6xpB8bPSA>, Feb. 7, 2017, 3 pages. |
| Yu et al., “Permutation Invariant Training Of Deep Models For Speaker-Independent Multi-talker Speech Separation”, Proc. ICASSP, 2017, 5 pages. |
| Yu et al., “Recognizing Multi-talker Speech with Permutation Invariant Training”, Interspeech 2017, Aug. 20-24, 2017, pp. 2456-2460. |
| Zhan et al., “Play with Android Phones”, Feb. 29, 2012, 1 page (Official Copy Only). {See communication under 37 CFR § 1.98(a) (3)}. |
| Zmolikova et al., “Speaker-Aware Neural Network Based Beamformer For Speaker Extraction In Speech Mixtures”, Interspeech 2017, Aug. 20-24, 2017, pp. 2655-2659. |
| Advisory Action received for U.S. Appl. No. 14/298,725, dated Aug. 25, 2016, 5 pages. |
| “Alexa, Turn Up the Heat!”, Smartthings Samsung [online], Available online at <https://web.archive.org/web/20160329142041/https://blog.smartthings.com/news/smartthingsupdates/alexa-turn-up-the-heat/>, Mar. 3, 2016, 3 pages. |
| “Ask Alexa—Things That Are Smart Wiki”, Available online at:—<http://thingsthataresmart.wiki/index.php?title=Ask_Alexa&oldid=4283>, Jun. 8, 2016, pp. 1-31. |
| “DIRECTV™ Voice”, Now Part of the DIRECTTV Mobile App for Phones, Sep. 18, 2013, 5 pages. |
| “Galaxy S7: How to Adjust Screen Timeout & Lock Screen Timeout”, Available online at:—<https://www.youtube.com/watch?v=n6e1WKUS2ww>, Jun. 9, 2016, 1 page. |
| “Hey Google: How to Create a Shopping List with Your Google Assistant, Available online at:—<https://www.youtube.com/watch?v=w9NCsElax1Y>”, May 25, 2018, 1 page. |
| “How to Enable Google Assistant on Galaxy 57 and other Android Phones (No Root)”, Available online at:—<https://www.youtube.com/watch?v=HeklQbWyksE>, Mar. 20, 2017, 1 page. |
| “How to Use Ok Google Assistant Even Phone is Locked”, Available online at:—<https://www.youtube.com/watch?v=9B_gP4j_SP8>, Mar. 12, 2018, 1 page. |
| “SmartThings +Amazon Echo”, Smartthings Samsung [online], Available online at <https://web.archive.org/web/20160509231428/https://blog.smartthings.com/featured/alexa-turn-on-my-smartthings/>, Aug. 21, 2015, 3 pages. |
| Adium, “AboutAdium—Adium X—Trac”, Online available at <http://web.archive.org/web/20070819113247/http://trac.adiumx.com/wiki/AboutAdium>, retrieved on Nov. 25, 2011, 2 pages. |
| Alfred App, “Alfred”, available at <http://www.alfredapp.com/>, retrieved on Feb. 8, 2012, 5 pages. |
| Anania, Peter, “Amazon Echo with Home Automation (Smartthings)”, Available online at:—<https://www.youtube.com/watch?v=LMW6aXmsWNE>, Dec. 20, 2015, 1 page. |
| Api.ai, “Android App Review—Speaktoit Assistant”, Available at <https://www.youtube.com/watch?v=myE498nyfGw>, Mar. 30, 2011, 3 pages. |
| Apple, “VoiceOver”, Online available at:—<http://www.apple.com/accessibility/voiceover/>, May 19, 2014, 3 pages. |
| Asakura et al., “What LG thinks; How the TV should be in the Living Room”, HiVi, vol. 31, No. 7, Jun. 17, 2013, pp. 68-71. |
| Ashbrook, Daniel L., “Enabling Mobile Microinteractions”, May 2010, 186 pages. |
| Ashingtondctech & Gaming, “SwipeStatusBar—Reveal the Status Bar in a Fullscreen App”, Online Available at:—<https://www.youtube.com/watch?v=wAtT9IAreQ>, Jul. 1, 2013, 3 pages. |
| Berry et al., “PTIME: Personalized Assistance for Calendaring”, ACM Transactions on Intelligent Systems and Technology, vol. 2, No. 4, Article 40, Jul. 2011, pp. 1-22. |
| Bertulucci, Jeff, “Google Adds Voice Search to Chrome Browser”, PC World, Jun. 14, 2011, 5 pages. |
| Bocchieri et al., “Use of Geographical Meta-Data in ASR Language and Acoustic Models”, IEEE International Conference on Acoustics Speech and Signal Processing, 2010, pp. 5118-5121. |
| Butcher, Mike, “EVI Arrives in Town to go Toe-to-Toe with Siri”, TechCrunch, Jan. 23, 2012, 2 pages. |
| Cambria et al., “Jumping NLP Curves: A Review of Natural Language Processing Research”, IEEE Computational Intelligence Magazine, 2014, vol. 9, May 2014, pp. 48-57. |
| Caraballo et al., “Language Identification Based on a Discriminative Text Categorization Technique”, Iberspeech 2012—Vii Jornadas En Tecnologia Del Habla And Iii Iberiansl Tech Workshop, Nov. 21, 2012, pp. 1-10. |
| Castleos, “Whole House Voice Control Demonstration”, available online at:—<https://www.youtube.com/watch?v=9SRCoxrZ_W4>, Jun. 2, 2012, 26 pages. |
| Chen, Yi, “Multimedia Siri Finds and Plays Whatever You Ask For”, PSFK Report, Feb. 9, 2012, 9 pages. |
| Cheyer, Adam, “About Adam Cheyer”, Online available at:—<http://www.adam.cheyer.com/about.html>, retrieved on Sep. 17, 2012, 2 pages. |
| Choi et al., “Acoustic and Visual Signal based Context Awareness System for Mobile Application”, IEEE Transactions on Consumer Electronics, vol. 57, No. 2, May 2011, pp. 738-746. |
| Colt, Sam, “Here's One Way Apple's Smartwatch Could Be Better Than Anything Else”, Business Insider, Aug. 21, 2014, pp. 1-4. |
| Deedeevuu, “Amazon Echo Alarm Feature”, Available online at:—<https://www.youtube.com/watch?v=fdjU8eRLk7c>, Feb. 16, 2015, 1 page. |
| Earthling1984, “Samsung Galaxy Smart Stay Feature Explained”, Available online at:—<https://www.youtube.com/watch?v=RpjBNtSjupl>, May 29, 2013, 1 page. |
| Evi, “Meet Evi: The One Mobile Application that Provides Solutions for your Everyday Problems”, Feb. 2012, 3 pages. |
| Exhibit 1, “Natural Language Interface Using Constrained Intermediate Dictionary of Results”, List of Publications Manually Reviewed for the Search of U.S. Pat. No. 7,177,798, Mar. 22, 2013, 1 page. |
| Filipowicz, Luke, “How to use the Quick Type Keyboard in iOS 8”, Available online at:—<https://www.imore.com/comment/568232>, Oct. 11, 2014, pp. 1-17. |
| Final Office Action received for U.S. Appl. No. 14/298,725, dated May 10, 2018, 15 pages. |
| Final Office Action received for U.S. Appl. No. 14/298,725, dated May 11, 2016, 17 pages. |
| Findlater et al., “Beyond QWERTY: Augmenting Touch-Screen Keyboards with Multi-Touch Gestures for Non-Alphanumeric Input”, CHI '12, Austin, Texas, USA, May 5-10, 2012, 4 pages. |
| Gannes, Liz, “Alfred App Gives Personalized Restaurant Recommendations”, AllThingsD, Jul. 18, 2011, pp. 1-3. |
| Google Developers, “Voice Search in Your App”, Available online at:—https://www.youtube.com/watch?v=PS1FbB5qWEI, Nov. 12, 2014, 1 page. |
| Gruber, Tom, “Big Think Small Screen: How Semantic Computing in the Cloud Will Revolutionize the Consumer Experience on the Phone”, Keynote Presentation at Web 3.0 Conference, Jan. 2010, 41 pages. |
| Guay, Matthew, “Location-Driven Productivity with Task Ave”, Online available at:—<http://iphone.appstorm.net/reviews/productivity/location-driven-productivity-with-task-ave/>, Feb. 19, 2011, 7 pages. |
| Guim, Mark, “How to Set a Person-Based Reminder with Cortana”, Online available at:—<http://www.wpcentral.com/how-to-person-based-reminder-cortana>, Apr. 26, 2014, 15 pages. |
| Hardwar, Devindra, “Driving App Waze Builds its own Siri for Hands-Free Voice Control”, Available online at:—<http://venturebeat.com/2012/02/09/driving-app-waze-builds-its-own-siri-for-hands-free-voice-control/>, retrieved on Feb. 9, 2012, 4 pages. |
| Hashimoto, Yoshiyuki, “Simple Guide for iPhone Siri, Which Can Be Operated with Your Voice”, Shuwa System Co., Ltd., vol. 1, Jul. 5, 2012, pp. 8, 130, 131. |
| “Headset Button Controller v7.3 APK Full APP Download for Android, Blackberry, iPhone”, Jan. 27, 2014, 11 pages. |
| “Hear Voice from Google Translate”, Online Available at:—<https://www.youtube.com/watch?v=18AvMhFqD28>, Jan. 28, 2011, 1 page. |
| id3.org, “id3v2.4.0—Frames”, Online available at:—<http://id3.org/id3v2.4.0-frames?action=print>, retrieved on Jan. 22, 2015, 41 pages. |
| INews And Tech, “Howto Use The QuickType Keyboard In iOS 8”, Available online at:—<http://www.inewsandtech.com/how-to-use-the-quicktype-keyboard-in-ios-8/>, Sep. 17, 2014, 6 pages. |
| Interactive Voice, Online available at:—<http://www.helloivee.com/company/>, retrieved on Feb. 10, 2014, 2 pages. |
| IOS 8 Release, “Quick Type Keyboard on iOS 8 Makes Typing Easier”, Retrieved from the Internet: <https://www.youtube.com/watch?v=0CidLR4fhVU>, Jun. 3, 2014, 1 page. |
| Iowegian International, “FIR Filter Properties, DSPGuru, Digital Signal Processing Central”, Online available at:—<http://www.dspguru.com/dsp/faq/fir/properties> retrieved on Jul. 28, 2010, 6 pages. |
| Jawaid et al., “Machine Translation with Significant Word Reordering and Rich Target-Side Morphology”, WDS'11 Proceedings of Contributed Papers, Part I, 2011, pp. 161-166. |
| Jonsson et al., “Proximity-based Reminders Using Bluetooth”, 2014 IEEE International Conference on Pervasive Computing and Communications Demonstrations, 2014, pp. 151-153. |
| Jouvet et al., “Evaluating Grapheme-to-phoneme Converters in Automatic Speech Recognition Context”, IEEE, 2012, pp. 4821-4824. |
| Karn, Ujjwal, “An Intuitive Explanation of Convolutional Neural Networks”, The Data Science Blog, Aug. 11, 2016, 23 pages. |
| Kazmucha, Allyson, “How to Send Map Locations Using iMessage”, iMore.com, Online Available at:—<http://www.imore.com/how-use-imessage-share-your-location-your-iphone>, Aug. 2, 2012, 6 pages. |
| Kickstarter, “Ivee Sleek: Wi-Fi Voice-Activated Assistant”, Online available at:—<https://www.kickstarter.com/projects/ivee/ivee-sleek-wi-fi-voice-activated-assistant>, retrieved on Feb. 10, 2014, 13 pages. |
| Lewis, Cameron, “Task Ave for iPhone Review”, Mac Life, Online Available at:—<http://www.maclife.com/article/reviews/task_ave_iphone_review>, Mar. 3, 2011, 5 pages. |
| Liou et al., “Autoencoder for Words”, Neurocomputing, vol. 139, Sep. 2014, pp. 84-96. |
| Majerus, Wesley, “Cell Phone Accessibility for your Blind Child”, Retrieved from the Internet:—<https://web.archive.org/web/20100210001100/https://nfb.org/images/nfb/publications/fr/fr28/3/fr280314.htm>, 2010, pp. 1-5. |
| Marketing Land, “Amazon Echo: Play Music”, Online Available at:—<https://www.youtube.com/watch?v=A7V5NPbsXi4>, Apr. 27, 2015, 3 pages. |
| Meet Ivee, Your Wi-Fi Voice Activated Assistant, Online available at:—<http://www.helloivee.com/>, retrieved on Feb. 10, 2014, 8 pages. |
| Mhatre et al., “Donna Interactive Chat-bot acting as a Personal Assistant”, International Journal of Computer Applications (0975-8887), vol. 140, No. 10, Apr. 2016, 6 pages. |
| Mikolov et al., “Linguistic Regularities in Continuous Space Word Representations”, Proceedings of NAACL-HLT, Jun. 9-14, 2013, pp. 746-751. |
| Miller, Chance, “Google Keyboard Updated with New Personalized Suggestions Feature”, Online available at:—<http://9to5google.com/2014/03/19/google-keyboard-updated-with-new-personalized-suggestions-feature/>, Mar. 19, 2014, 4 pages. |
| “Minimum Phase”, Wikipedia the free Encyclopedia, last modified on Jan. 12, 2010 and retrieved on Jul. 28, 2010, Online available at:—<http://en.wikipedia.org/wiki/Minimum_phase>, 8 pages. |
| “Mobile Speech Solutions”, Mobile Accessibility, SVOX AG Product Information Sheet, Online available at:—<http://www.svox.com/site/bra840604/con782768/mob965831936.aSQ?osLang=1>, Sep. 27, 2012, 1 page. |
| Morrison, Jonathan, “iPhone 5 Siri Demo”, Online Available at:—<https://www.youtube.com/watch?v=_wHWwG5lhWc>, Sep. 21, 2012, 3 pages. |
| My Cool Aids, “What's New”, Online available at:—<http://www.mycoolaids.com/>, 2012, 1 page. |
| Nakazawa et al., “Detection and Labeling of Significant Scenes from TV program based on Twitter Analysis”, Proceedings of the 3rd Forum on Data Engineering and Information Management (deim 2011 proceedings), IEICE Data Engineering Technical Group, Feb. 28, 2011, 10 pages. |
| NDTV, “Sony SmartWatch 2 Launched in India for Rs. 14,990”, Online available at:—<http://gadgets.ndtv.com/others/news/sony-smartwatch-2-launched-in-india-for-rs-14990-420319>, Sep. 18, 2013, 4 pages. |
| Non-Final Office Action received for U.S. Appl. No. 14/298,725, dated Nov. 6, 2015, 11 pages. |
| Non-Final Office Action received for U.S. Appl. No. 14/298,725, dated Sep. 1, 2017, 17 pages. |
| Non-Final Office Action received for U.S. Appl. No. 16/204,467, dated Nov. 15, 2019, 9 pages. |
| Notice of Allowance received for U.S. Appl. No. 14/298,725, dated Aug. 29, 2018, 10 pages. |
| Notice of Allowance received for U.S. Appl. No. 16/204,467, dated May 12, 2020, 10 pages. |
| Nozawa et al., “iPhone 4S Perfect Manual”, vol. 1, First Edition, Nov. 11, 2011, 4 pages. |
| Osxdaily, “Get a List of Siri Commands Directly from Siri”, Online Available at:—<http://osxdaily.com/2013/02/05/list-siri-commands/>, Feb. 5, 2013, 15 pages. |
| Pan et al., “Natural Language Aided Visual Query Building for Complex Data Access”, In proceeding of: Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, Jul. 11, 2010, pp. 1821-1826. |
| Pathak et al., “Privacy-preserving Speech Processing: Cryptographic and String-matching Frameworks Show Promise”, IEEE signal processing magazine, Feb. 13, 2013, 16 pages. |
| Patra et al., “A Kernel-Based Approach for Biomedical Named Entity Recognition”, Scientific World Journal, vol. 2013, 2013, pp. 1-7. |
| Pennington et al., “GloVe: Global Vectors for Word Representation”, Proceedings of the Conference on Empirical Methods Natural Language Processing (EMNLP), Oct. 25-29, 2014, pp. 1532-1543. |
| Perlow, Jason, “Alexa Loop Mode with Playlist for Sleep Noise”, Online Available at: <https://www.youtube.com/watch?v=nSkSuXziJSg>, Apr. 11, 2016, 3 pages. |
| Phoenix Solutions, Inc., “Declaration of Christopher Schmandt Regarding the MIT Galaxy System”, West Interactive Corp., A Delaware Corporation, Document 40, Jul. 2, 2010, 162 pages. |
| Powell, Josh, “Now You See Me . . . Show/Hide Performance”, Online available at:—<http://www.learningjquery.com/2010/05/now-you-see-me-showhide-performance>, May 4, 2010, 3 pages. |
| Rios, Mafe, “New bar search for Facebook”, You Tube, Online available at:—<https://www.youtube.com/watch?v=vwgN1WbvCas>, Jul. 19, 2013, 2 pages. |
| Routines, “SmartThings Support”, Available online at:—<https://web.archive.org/web/20151207165701/https://support.smartthings.com/hc/en-us/articles/205380034-Routines>, 2015, 2 pages. |
| Sarawagi, Sunita, “CRF Package Page”, Online available at:—<http://crf.sourceforge.net/>, retrieved on Apr. 6, 2011, 2 pages. |
| Seehafer, Brent, “Activate google assistant on Galaxy S7 with screen off”, Available online at:—<https://productforums.google.com/forum/#!topic/websearch/lp3qlGBHLVI>, Mar. 8, 2017, 4 pages. |
| Selfrifge et al., “Interact: Tightly-coupling Multimodal Dialog with an Interactive Virtual Assistant”, International Conference on Multimodal Interaction, ACM, Nov. 9, 2015, pp. 381-382. |
| Simonite, Tom, “One Easy Way to Make Siri Smarter”, Technology Review, Oct. 18, 2011, 2 pages. |
| Speaker Recognition, Wikipedia, The Free Encyclopedia, Nov. 2, 2010, 4 pages. |
| Spivack, Nova, “Sneak Preview of Siri—Part Two—Technical Foundations—Interview with Tom Gruber, CTO of Siri”, Online Available at:—<https://web.archive.org/web/20100114234454/http://www.twine.com/item/12vhy39k4-22m/interview-with-tom-gruber-of-siri>, Jan. 14, 2010, 5 pages. |
| SRI, “SRI Speech: Products: Software Development Kits: EduSpeak”, available at <http://web.archive.org/web/20090828084033/http://www.speechatsri.com/products/eduspeak>shtml, retrieved on Jun. 20, 2013, 2 pages. |
| Sullivan, Danny, “How Google Instant's Autocomplete Suggestions Work”, available at <http://searchengineland.com/how-google-instant-autocomplete-suggestions-work-62592>, Apr. 6, 2011, 12 pages. |
| Sundaram et al., “Latent Perceptual Mapping with Data-Driven Variable-Length Acoustic Units for Template-Based Speech Recognition”, ICASSP 2012, Mar. 2012, pp. 4125-4128. |
| Sundermeyer et al., “From Feedforward to Recurrent LSTM Neural Networks for Language Modeling”, IEEE Transactions to Audio, Speech, and Language Processing, 2015, vol. 23, Mar. 2015, pp. 517-529. |
| Sundermeyer et al., “LSTM Neural Networks for Language Modeling”, Interspeech 2012, ISCA's 13″ Annual Conference, Sep. 9-13, 2012, pp. 194-197. |
| Tanaka, Tatsuo, “Next Generation IT Channel Strategy Through “Experience Technology””, Intellectual Resource Creation, Japan, Nomura Research Institute Ltd. vol. 19, No. 1, Dec. 20, 2010, 17 pages. |
| TextnDrive, “Text'nDrive App Demo—Listen and Reply to your Messages by Voice while Driving!”, YouTube Video available at:—<http://www.youtube.com/watch?v=WaGfzoHsAMw>, Apr. 27, 2010, 1 page. |
| Tofel, Kevin C., “SpeakToIt: A Personal Assistant for Older iPhones, iPads”, Apple News, Tips and Reviews, Feb. 9, 2012, 7 pages. |
| Tucker, Joshua, “Too Lazy to Grab Your TV Remote? Use Siri Instead”, Engadget, Nov. 30, 2011, 8 pages. |
| Tur et al., “The CALO Meeting Assistant System”, IEEE Transactions on Audio, Speech and Language Processing, vol. 18, No. 6, Aug. 2010, pp. 1601-1611. |
| Vlingo InCar, “Distracted Driving Solution with Vlingo InCar”, YouTube Video, Available online at:—<http://www.youtube.com/watch?v=Vqs8XfXxgz4>, Oct. 2010, 2 pages. |
| Vodafone Deutschland, “Samsung Galaxy S3 Tastatur Spracheingabe”, Available online at—“https://www.youtube.com/watch?v=6kOd6Gr8uFE”, Aug. 22, 2012, 1 page. |
| Wikipedia, “Acoustic Model”, Online available at:—<http://en.wikipedia.org/wiki/AcousticModel>, retrieved on Sep. 14, 2011, 2 pages. |
| Wikipedia, “Language Model”, Online available at:—<http://en.wikipedia.org/wiki/Language_model>, retrieved on Sep. 14, 2011, 4 pages. |
| Wikipedia, “Speech Recognition”, Online available at:—<http://en.wikipedia.org/wiki/Speech_recognition>, retrieved on Sep. 14, 2011, 12 pages. |
| X.Ai, “How it Works”, Available online at: <https://web.archive.org/web/20160531201426/https://x.ai/how-it-works/>, May 31, 2016, 6 pages. |
| Xiang et al., “Correcting Phoneme Recognition Errors in Learning Word Pronunciation through Speech Interaction”, Speech Communication, vol. 55, No. 1, Jan. 1, 2013, pp. 190-203. |
| Xu, Yuhong, “Policy Optimization of Dialogue Management iln Spoken Dialogue System For Out-of-Domain Utterances”, 2016 International Conference on Asian Language Processing (IALP), IEEE, Nov. 21, 2016, pp. 10-13. |
| Yan et al., “A Scalable Approach to Using DNN-Derived Features in GMM-HMM Based Acoustic Modeling for LVCSR”, Interspeech, 2013, pp. 104-108. |
| Yates, Michael C., “How can I exit Google Assistant after I'm finished with it”, Available online at:—<https://productforums.google.com/forum/#!msg/phone-by-google/faECnR2RJwA/gKNtOkQgAQAJ>, Jan. 11, 2016, 2 pages. |
| Young et al., “The Hidden Information State model: A Practical Framework for POMDP-Based Spoken Dialogue Management”, Computer Speech & Language, vol. 24, Issue 2, 2010, pp. 150-174. |
| Zainab, “Google Input Tools Shows Onscreen Keyboard in Multiple Languages [Chrome]”, Online Available at:—<http://www.addictivetips.com/internet-tips/google-input-tools-shows-multiple-language-onscreen-keyboards-chrome/>, Jan. 3, 2012, 3 pages. |
| Zangerle et al., “Recommending #-Tag in Twitter”, Proceedings of the Workshop on Semantic Adaptive Socail Web, 2011, pp. 1-12. |
| Zhang et al., “Research of Text Classification Model Based on Latent Semantic Analysis and Improved HS-SVM”, Intelligent Systems and Applications (ISA), 2010 2nd International Workshop, May 22-23, 2010, 5 pages. |
| Zhong et al., “JustSpeak: Enabling Universal Voice Control on Android”, W4A'14, Proceedings of the 11th Web for All Conference, No. 36, Apr. 7-9, 2014, 8 pages. |
| Number | Date | Country | |
|---|---|---|---|
| 20200364411 A1 | Nov 2020 | US |
| Number | Date | Country | |
|---|---|---|---|
| 61832896 | Jun 2013 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16204467 | Nov 2018 | US |
| Child | 16984714 | US | |
| Parent | 14298725 | Jun 2014 | US |
| Child | 16204467 | US |
