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公开(公告)号：US11611213B1
公开(公告)日：2023-03-21
申请号：US17450505
申请日：2021-10-11
Applicant: X Development LLC
Inventor： Phillip E. Stahlfeld , Bin Ni
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.
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公开(公告)号：US20220413820A1
公开(公告)日：2022-12-29
申请号：US17903496
申请日：2022-09-06
Applicant: X Development LLC
Inventor： Owen Lewis , Bin Ni
Abstract: Implementations are described herein for building and/or applying a library of transformation templates to automate migration of source code. In various implementations, pre-migration and post-migration versions of source code that exist prior to and after migration of the source code may be analyzed. Based on the analysis, one or more transformations made to the pre-migration version of the source code to yield the post-migration version of the source code may be identified. A library of transformation templates that are applicable subsequently to automate migration of new source code may be built. In some implementations, for one or more of the transformations, a plurality of candidate transformation templates may be generated with different permutations of tokens being replaced with placeholders. One of the plurality of candidate transformation templates may be selected for inclusion in the library based on one or more criteria.
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公开(公告)号：US11481202B2
公开(公告)日：2022-10-25
申请号：US17176730
申请日：2021-02-16
Applicant: X Development LLC
Inventor： Owen Lewis , Bin Ni
Abstract: Implementations are described herein for building and/or applying a library of transformation templates to automate migration of source code. In various implementations, pre-migration and post-migration versions of source code that exist prior to and after migration of the source code may be analyzed. Based on the analysis, one or more transformations made to the pre-migration version of the source code to yield the post-migration version of the source code may be identified. A library of transformation templates that are applicable subsequently to automate migration of new source code may be built. In some implementations, for one or more of the transformations, a plurality of candidate transformation templates may be generated with different permutations of tokens being replaced with placeholders. One of the plurality of candidate transformation templates may be selected for inclusion in the library based on one or more criteria.
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公开(公告)号：US20210026605A1
公开(公告)日：2021-01-28
申请号：US16523363
申请日：2019-07-26
Applicant: X Development LLC
Inventor： Georgios Evangelopoulos , Benoit Schillings , Bin Ni
Abstract: Implementations are described herein for automatically identifying, recommending, and/or automatically effecting changes to a source code base based on updates previously made to other similar code bases. Intuitively, multiple prior “migrations,” or mass updates, of complex software system code bases may be analyzed to identify changes that were made. More particularly, a particular portion or “snippet” of source code—which may include a whole source code file, a source code function, a portion of source code, or any other semantically-meaningful code unit—may undergo a sequence of edits over time. Techniques described herein leverage this sequence of edits to predict a next edit of the source code snippet. These techniques have a wide variety of applications, including but not limited to automatically updating of source code, source code completion, recommending changes to source code, etc.
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公开(公告)号：US10885902B1
公开(公告)日：2021-01-05
申请号：US16198024
申请日：2018-11-21
Applicant: X Development LLC
Inventor： Antonio Raymond Papania-Davis , Bin Ni , Shelby Lin
Abstract: Techniques are described for using stenography to protect sensitive information within conversational audio data by generating a pseudo-language representation of conversational audio data. In some implementations, audio data corresponding to an utterance is received. The audio data is classified as likely sensitive audio data. A particular set of sentiments associated with the audio data is determined. Data indicating the particular set of sentiments associated with the audio data is provided to a model. The model is trained to output, for each of different sets of sentiments, desensitized, pseudo-language audio data that exhibits the set of sentiments, and is not classified as likely sensitive audio data. A particular desensitized, pseudo-language audio data is received from the model. The audio data is replaced with the particular desensitized, pseudo-language audio data and stored within an audio data repository.
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Patent Agency Ranking
公开(公告)号：US10861228B2
公开(公告)日：2020-12-08
申请号：US16235092
申请日：2018-12-28
Applicant: X Development LLC
Inventor： Jason Rugolo , Bin Ni , Daniel George
Abstract: A system to optically measure an ear includes a controller with logic that when executed by the controller causes the system to perform operations. Operations may include capturing the one or more images of the ear using the one or more image sensors, and generating image data from the one or more images. 3D keypoints of the ear are calculated from the image data, and a 3D model of the ear is generated using the 3D keypoints.
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公开(公告)号：US20200213711A1
公开(公告)日：2020-07-02
申请号：US16235360
申请日：2018-12-28
Applicant: X Development LLC
Inventor： Jason Rugolo , Bin Ni , Cyrus Behroozi
IPC: H04R1/10 , H04R3/00 , G10K11/178
Abstract: An in-ear device includes a housing shaped to hold the in-ear device in an ear of a user, and an audio package, disposed in the housing, to emit augmented sound. A first set of one or more microphones is positioned to receive external sound, and a controller is coupled to the audio package and the first set of one or more microphones. The controller includes a low-latency audio processing path, digital control parameters, and logic that when executed by the controller causes the in-ear device to perform operations. The operations may include receiving the external sound with the first set of one or more microphones to generate a low-latency sound signal; augmenting the low-latency sound signal by passing the low-latency sound signal through the low-latency audio processing path to produce an augmented sound signal; and outputting, with the audio package, the augmented sound based on the augmented sound signal.
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公开(公告)号：US12046901B1
公开(公告)日：2024-07-23
申请号：US18166108
申请日：2023-02-08
Applicant: X Development LLC
Inventor： Phillip Ellsworth Stahlfeld , Bin Ni
CPC classification number: H02J3/0073 , G06N3/084 , G06Q50/06 , H02J3/14 , H02J2203/20
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.
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公开(公告)号：US20230018088A1
公开(公告)日：2023-01-19
申请号：US17945376
申请日：2022-09-15
Applicant: X Development LLC
Inventor： Rishabh Singh , David Andre , Bin Ni , Owen Lewis
Abstract: Implementations are described herein for using machine learning to perform various tasks related to migrating source code based on relatively few (“few shots”) demonstrations. In various implementations, an autoregressive language model may be conditioned based on demonstration tuple(s). In some implementations, a demonstration tuple may include a pre-migration version of a first source code snippet and a post-migration version of the first source code snippet. In other implementations, demonstration tuples may include other data, such as intermediate forms (e.g., natural language descriptions or pseudocode), input-output pairs demonstrating intended behavior, etc. The autoregressive language model may be trained on corpora of source code and natural language documentation on the subject of computer programming. A pre-migration version of a source code file may be processed based on the conditioned autoregressive language model, and a post-migration version may be generated based on output generated based on the conditioned autoregressive model.
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公开(公告)号：US20220391692A1
公开(公告)日：2022-12-08
申请号：US17341859
申请日：2021-06-08
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Bin Ni
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving sensor data generated by one or more sensors that characterizes motion of an object over multiple time steps, providing the sensor data characterizing the motion of the object to a motion prediction neural network having a brain emulation sub-network with an architecture that is specified by synaptic connectivity between neurons in a brain of a biological organism, and processing the sensor data characterizing the motion of the object using the motion prediction neural network having the brain emulation sub-network to generate a network output that defines a prediction characterizing the motion of the object.
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