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    PHYSIOLOGICAL MEASUREMENTS USING PHONE SCREEN
    11.
    发明申请
    PHYSIOLOGICAL MEASUREMENTS USING PHONE SCREEN 有权

    公开(公告)号：US20220061677A1

    公开(公告)日：2022-03-03

    申请号：US17382055

    申请日：2021-07-21

    Applicant: X Development LLC

    Inventor： Matthew Bennice ,  Anupama Thubagere Jagadeesh ,  David Andre

    IPC: A61B5/0205 ,  A61B5/00

    Abstract: A phone may be used to conduct physiological measurements such as heart rate, respiration rate, and arterial oxygen saturation level measurements. A mobile app may be installed on a user's portable electronic device, and may direct the user to place a part of the user's body onto a user-facing optical detector such as a camera. The portable electronic device may transmit at least two light signals to the body part using the portable electronic device's screen as an emission source. Reflections of the light signals are recorded by the optical detector. Based on the reflected light signal, the portable electronic device may determine the absorption of different light frequencies and the physiological parameter values.

    Generating interfacing source code
    12.
    发明授权
    Generating interfacing source code 有权

    公开(公告)号：US12217029B1

    公开(公告)日：2025-02-04

    申请号：US17889567

    申请日：2022-08-17

    Applicant: X Development LLC

    Inventor： David Andre ,  Nisarg Vyas ,  Salil Pradhan ,  Rebecca Radkoff ,  Ryan Butterfoss ,  Falak Shah ,  Jayendra Parmar

    IPC: G06F8/35 ,  G06F9/54

    Abstract: This specification is generally directed to techniques for generating interfacing source code between computing components based on natural language input. In various implementations, a natural language input that requests generation of interfacing source code to logically couple a first computing component with a second computing component may be processed to generate an interface request semantic embedding. The interface request semantic embedding may be processed based on one or more domain models associated with the first and second computing components to generate a pool(s) of candidate code snippets for logically coupling with first and second computing components. A plurality of candidate instances of interfacing source code may be generated between the first and second computing components. Each candidate software interface may include a different permutation of candidate code snippets from the pool(s) of candidate code snippets.

    RESOURCE EFFICIENT TRAINING OF MACHINE LEARNING MODELS THAT PREDICT STOCHASTIC SPREAD
    15.
    发明公开
    RESOURCE EFFICIENT TRAINING OF MACHINE LEARNING MODELS THAT PREDICT STOCHASTIC SPREAD 审中-公开

    公开(公告)号：US20240233346A9

    公开(公告)日：2024-07-11

    申请号：US18493018

    申请日：2023-10-24

    Applicant: X Development LLC

    Inventor： Avery Noam Cowan ,  Nikhil Suresh ,  Akshina Gupta ,  David Andre ,  Eliot Julien Cowan ,  Gearoid Murphy

    IPC: G06V10/776 ,  G06V10/74

    CPC classification number: G06V10/776 ,  G06V10/761

    Abstract: Methods, systems, and apparatus for obtaining input features representative of a region of space, processing an input comprising the input features through the ML model to generate a prediction describing predicted features of the region of space, obtaining result features describing the region of space, determining a value of at least one evaluation metric that relates the predicted features and the result features, that at least one evaluation metric including one of a distance score, a pyramiding density error, and min-max intersection over union (IOU) score, and training the ML model responsive to the at least one evaluation metric. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

    FINDING COHERENT INFERENCES ACROSS DOMAINS
    16.
    发明公开
    FINDING COHERENT INFERENCES ACROSS DOMAINS 审中-公开

    公开(公告)号：US20240143929A1

    公开(公告)日：2024-05-02

    申请号：US17977681

    申请日：2022-10-31

    Applicant: X Development LLC

    Inventor： Garrett Raymond Honke ,  David Andre ,  Alberto Camacho Martinez ,  Irhum Shafkat

    IPC: G06F40/30 ,  G06F8/41 ,  G06N20/00

    CPC classification number: G06F40/30 ,  G06F8/436 ,  G06N20/00

    Abstract: Disclosed implementations relate to using mutual constraint satisfaction to sample from different stochastic processes and identify coherent inferences across domains. In some implementations, a first domain representation of a semantic concept may be used to conditionally sample a first set of candidate second domain representations of the semantic concept from a first stochastic process. Based on second domain representation(s) of the first set, candidate third domain representations of the semantic concept may be conditionally sampled from a second stochastic process. Based on candidate third domain representation(s), a second set of candidate second domain representations of the semantic concept may be conditionally sampled from a third stochastic process. Pairs of candidate second domain representations sampled across the first and second sets may be evaluated. Based on the evaluation, second domain representation(s) of the semantic concept are selected, e.g., as input for a downstream computer process.

    WIRELESS ANCHORS FOR ASSET TRACKING
    17.
    发明公开
    WIRELESS ANCHORS FOR ASSET TRACKING 审中-公开

    公开(公告)号：US20230394257A1

    公开(公告)日：2023-12-07

    申请号：US17830510

    申请日：2022-06-02

    Applicant: X Development LLC

    Inventor： David Andre ,  Erich Karl Nachbar

    IPC: G06K7/10 ,  G06Q10/08

    CPC classification number: G06K7/10366 ,  G06Q10/087

    Abstract: The technology enables locating asset tracking tags based on one or more beacon signals from at least one anchor beacon. Each of the beacon signals including anchor beacon identification information and being associated with a received signal strength upon receipt at a reader device. The anchor beacon identification information being associated with a physical location of the anchor beacon. A position of the reader device is estimated according to the received signal strength of the one or more beacon signals and the physical location of the at least one anchor beacon from the anchor beacon identification information. One or more signals from an asset tracking tag are detected by the reader device. A location of the asset tracking tag is identified based on the estimated position of the reader device and signal strength information for each of the one or more detected signals from the asset tracking tag.

    GENERATING HIGH RESOLUTION FIRE DISTRIBUTION MAPS USING GENERATIVE ADVERSARIAL NETWORKS
    18.
    发明申请
    GENERATING HIGH RESOLUTION FIRE DISTRIBUTION MAPS USING GENERATIVE ADVERSARIAL NETWORKS 有权

    公开(公告)号：US20220366533A1

    公开(公告)日：2022-11-17

    申请号：US17322562

    申请日：2021-05-17

    Applicant: X Development LLC

    Inventor： Eliot Julien Cowan ,  David Andre ,  Benjamin Goddard Mullet

    IPC: G06T3/40 ,  G06T7/90 ,  G06T7/194

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating high-resolution fire distribution maps. In some implementations, a computer-implemented system obtains a low-resolution distribution map indicating fire distribution of an area with fire burning and a reference map indicating features of the same area. The system processes the low-resolution distribution map and the reference map using a generator neural network to generate output data including a high-resolution synthesized distribution map indicating fire distribution of the area. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network that outputs a prediction of whether an input to the discriminator neural network is a real distribution map or a synthesized distribution map.

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