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11.发明申请公开(公告)号：US20240369941A1
公开(公告)日：2024-11-07
申请号：US18311837
申请日：2023-05-03
Applicant: X Development LLC
Inventor： Aaditya Chandrasekhar , Rhett Stucki , Ian Williamson
IPC: G03F7/20 , G03F7/00 , G05B19/4097
Abstract: In some embodiments, a computer-implemented method for designing a physical device is provided. A computing system determines whether a feature from a list of features is present in a set of structural parameters by, in response to determining whether a feature presence function indicates that the feature should be included in the set of structural parameters or not, updating the set of structural parameters to include the feature or refraining from updating the set of structural parameters to include the feature, accordingly. The computing system simulates performance of the initial design using the set of structural parameters to determine a performance loss value, determines a structural gradient based on the performance loss value, determines a feature gradient based on the performance loss value, and updates the features in the list of features based on the structural gradient and the feature gradient.
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公开(公告)号：US12131806B2
公开(公告)日：2024-10-29
申请号：US18208207
申请日：2023-06-09
Applicant: X Development LLC
Inventor： Bradley Michael Zamft
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using machine learning models for plant biotechnology. One of the methods includes obtaining a network input comprising an image depicting a plurality of plant cells or regions of plant tissue; processing the network input using a machine learning model to obtain an identification of one or more particular biotechnologically-modifiable plant cells or one or more particular biotechnologically-modifiable regions of the plant tissue; excising or delineating the one or more identified plant cells or the one or more identified regions of the plant tissue; and delivering exogenous material to the excised or delineated plant cells or regions of plant tissue.
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公开(公告)号：US20240353807A1
公开(公告)日：2024-10-24
申请号：US18302449
申请日：2023-04-18
Applicant: X Development LLC
Inventor： Sze Mei Cat Wong , Leo Francis Casey , Sushant Kumar
IPC: G05B19/042
CPC classification number: G05B19/042 , G05B2219/2639
Abstract: This disclosure describes a system and method for a central controller layer to monitor conditions and control operations of an electric grid. The central controller layer communicates with an intermediate controller layer that includes hubs to monitor operations of grid edge devices connected to different regions of the electric grid. The central controller layer obtains, from each hub, sensor data corresponding to measurements performed by the grid edge devices. The central controller layer determines, based on the sensor data and expected grid-wide operations, control strategies with expected electrical operating conditions for the respective region, and provides a respective control strategy to each hub. In response to receiving the respective control strategy for the hub, each hub generates operational parameters for at least one grid edge device that cause a grid edge device to adjust its operation based on the expected amount of power flow for the hub.
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公开(公告)号：US12117659B2
公开(公告)日：2024-10-15
申请号：US18107825
申请日：2023-02-09
Applicant: X Development LLC
Inventor： Yi-Kuei Ryan Wu
CPC classification number: G02B6/4202 , G02B6/4212 , G02B6/4284
Abstract: A photonic coupler includes an input coupling section, an output coupling section, and a multimode interference (MMI) waveguide section. The input coupling section is adapted to receive an input optical signal along an input waveguide channel. The output coupling section is adapted to output a pair of output optical signals along output waveguide channels. The output optical signals having output optical powers split from the input optical signal. The MMI waveguide section is optically coupled between the input and output coupling sections. Notched waveguide sections may each be disposed between the MMI waveguide section and a corresponding one of the input or output coupling sections and/or the MMI waveguide section may include curvilinear sidewalls.
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公开(公告)号：US20240330743A1
公开(公告)日：2024-10-03
申请号：US18129416
申请日：2023-03-31
Applicant: X Development LLC
Inventor： David Andre , Grace Taixi Brentano , Lam Thanh Nguyen , Salil Vijaykumar Pradhan , Peter Michael Aronow
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating synthetic training data representing network disruptions. One of the methods includes obtaining data representing one or more first travel time distributions between at the at least two entities in the supply chain network. Synthetic network disruption data is generated including sampling from one or more second travel time distributions corresponding respectively to one or more simulated network disruptions. A second dataset having the synthetic network disruption data is generated, and a network policy agent is trained using the second dataset.
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Patent Agency Ranking
公开(公告)号：US12100119B2
公开(公告)日：2024-09-24
申请号：US18169272
申请日：2023-02-15
Applicant: X Development LLC
Inventor： Eliot Julien Cowan
IPC: G06T3/4046 , G06F18/21 , G06F18/214 , G06F18/25 , G06N3/045 , G06N3/08 , G06T3/4053 , G06V20/13
CPC classification number: G06T3/4046 , G06F18/214 , G06F18/217 , G06F18/251 , G06N3/045 , G06N3/08 , G06T3/4053 , G06V20/13
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a synthesized signal. A computer-implemented system obtains generator input data including an input signal having one or more first characteristics, processes the generator input data to generate output data including a synthesized signal having one or more second characteristics using a generator neural network, and outputs the synthesized signal to a device. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network. The discriminator neural network is configured to process discriminator input data that combines a discriminator input signal having the one or more second characteristics with at least a portion of generator input data to generate a prediction of whether the discriminator input signal is a real signal or a synthesized signal.
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公开(公告)号：US20240311749A1
公开(公告)日：2024-09-19
申请号：US18122057
申请日：2023-03-15
Applicant: X Development LLC
Inventor： Grace Taixi Brentano , Salil Vijaykumar Pradhan , Rebecca Radkoff , David Andre , Lam Thanh Nguyen , Sze Man Lee , Gearoid Murphy
IPC: G06Q10/0835 , G06N3/0475 , G06N3/092 , G06N3/094
CPC classification number: G06Q10/08355 , G06N3/0475 , G06N3/092 , G06N3/094
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating alternative networks. One of the methods includes receiving supply chain data representing a first supply chain network having nodes and links, receiving map data, providing the map data and the supply chain data as input to a generative process that is configured to generate one or more second supply chain networks, receiving, as output from the generative process, a second supply chain network, performing a supply chain simulation on the second supply chain network generated by the generative model, and computing a performance metric for the second supply chain network based on performing the simulation.
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公开(公告)号：US20240311377A1
公开(公告)日：2024-09-19
申请号：US18673222
申请日：2024-05-23
Applicant: X Development LLC
Inventor： David Andre
IPC: G06F16/2455 , G06F16/248 , G06F40/30 , G06F40/40
CPC classification number: G06F16/24556 , G06F16/248 , G06F40/30 , G06F40/40
Abstract: Implementations are described herein for aggregating information responsive to a query from multiple different data feed services using machine learning. In various implementations, NLP may be performed on a natural language input comprising a query for information to generate a data feed-agnostic aggregator embedding (FAAE). A plurality of data feed services may be selected, each having its own data feed service action space that includes actions that are performable to access data via the data feed service. The FAAE may be processed based on domain-specific machine learning models corresponding to the selected data feed services. Each domain-specific machine learning model may translate between a respective data feed service action space and a data feed-agnostic semantic embedding space. Using these models, action(s) may be selected from the data feed service action spaces and performed to aggregate, from the plurality of data feed services, data that is responsive to the query.
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公开(公告)号：US12067339B2
公开(公告)日：2024-08-20
申请号：US17570019
申请日：2022-01-06
Applicant: X Development LLC
Inventor： Raj Apte , Zhigang Pan , Dino Ruic , Cyrus Behroozi
IPC: G06F30/394 , G06F30/392 , G06F119/18
CPC classification number: G06F30/394 , G06F30/392 , G06F2119/18
Abstract: A computer-implemented method for integrated circuit routing is described. The computer-implemented method comprising receiving a description of interconnected terminals of an integrated circuit with a wiring route electrically coupling the interconnected terminals and configuring a simulated environment defined via a plurality of voxels based on the description. The individual voxels included in the plurality of voxels each correspond to a spatial representation for a corresponding region of a layout associated with the integrated circuit. The computer-implemented method further includes determining local contributions of the individual voxels to a characteristic metric of the integrated circuit based on an electromagnetic simulation of the integrated circuit and revising the wiring route based on the local contributions of the individual voxels.
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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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