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公开(公告)号：US11706111B1
公开(公告)日：2023-07-18
申请号：US17732957
申请日：2022-04-29
Applicant: X Development LLC
Inventor： John Michael Stivoric , David Andre , Ryan Butterfoss , Rebecca Radkoff , Salil Vijaykumar Pradhan , Grace Taixi Brentano , Lam Thanh Nguyen
IPC: H04L43/065 , H04L41/0604 , H04L41/12 , H04L43/0817
CPC classification number: H04L43/065 , H04L41/0627 , H04L41/12 , H04L43/0817
Abstract: Implementations are directed to improving network anti-fragility. In some aspects, a method includes receiving parameter data from a network of nodes, the parameter data comprising attributes, policies, and action spaces for each node in the network of nodes; configuring one or more interruptive events on one or more nodes included in the network of nodes; determining a first action of each node in the network of nodes in response to the one or more interruptive events; determining a first performance metric, for each node, that corresponds to the first action, wherein the first performance matric is determined based on at least a first reward value associated with the first action; continuously updating the first action in an iterative process to obtain a final action, wherein a performance metric corresponding to the final action satisfies a performance threshold, and transmitting the final action for each node to the network of nodes.
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公开(公告)号：US20220394957A1
公开(公告)日：2022-12-15
申请号：US17342719
申请日：2021-06-09
Applicant: X Development LLC
Inventor： Barnaby John James , Grace Taixi Brentano
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sensor data processing. The method may include the actions of obtaining sensor data regarding aquatic livestock over periods of time, where the sensor data is captured by at least one sensor at different depths, determining, for each of the periods of time, whether the sensor data captured at different depths during the period of time satisfy one or more evaluation criteria, generating an input data set that concatenates representations of the periods of time, providing the input data set to a machine-learning trained model, receiving, as an output from the machine-learning trained model, an indication of an action to be performed for the aquatic livestock, and initiating performance of the action for the aquatic livestock.
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公开(公告)号：US20210142052A1
公开(公告)日：2021-05-13
申请号：US17094380
申请日：2020-11-10
Applicant: X Development LLC
Inventor： Barnaby John James , Grace Taixi Brentano , Christopher Thornton
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for identification and re-identification of fish. In some implementations, first media representative of aquatic cargo is received. Second media based on the first media is generated, wherein a resolution of the second media is higher than a resolution of the first media. A cropped representation of the second media is generated. The cropped representation is provided to the machine learning model. In response to providing the cropped representation to the machine learning model, an embedding representing the cropped representation is generated using the machine learning model. The embedding is mapped to a high dimensional space. Data identifying the aquatic cargo is provided to a database, wherein the data identifying the aquatic cargo comprises an identifier of the aquatic cargo, the embedding, and a mapped region of the high dimensional space.
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Patent Agency Ranking
公开(公告)号：US20250131366A1
公开(公告)日：2025-04-24
申请号：US18926132
申请日：2024-10-24
Applicant: X Development LLC
Inventor： Lam Thanh Nguyen , Grace Taixi Brentano , Sze Man Lee , Karush Suri , Anikait Singh , Salil Vijaykumar Pradhan , David Andre , Gearoid Murphy
IPC: G06Q10/08
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating actions for a supply chain network. One of the methods includes receiving a request to generate an action in a supply chain network for a particular product based on current state information; providing a request to an action model to generate a respective probability distribution for one or more actions for one or more products; receiving, from the action model, the respective probability distributions for the one or more products; determining, for each product, a binned action from the respective probability distribution; providing a request to a sequence model to generate a respective correction for the one or more binned actions; and receiving, from the sequence model, the respective correction for the respective binned action.
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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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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：US11594058B2
公开(公告)日：2023-02-28
申请号：US17094380
申请日：2020-11-10
Applicant: X Development LLC
Inventor： Barnaby John James , Grace Taixi Brentano , Christopher Thornton
IPC: G06V40/10 , A01K61/95 , G06N20/00 , A01K63/02 , G06K9/62 , G06T3/40 , G06V10/40 , G06V10/24 , G06V20/80
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for identification and re-identification of fish. In some implementations, first media representative of aquatic cargo is received. Second media based on the first media is generated, wherein a resolution of the second media is higher than a resolution of the first media. A cropped representation of the second media is generated. The cropped representation is provided to the machine learning model. In response to providing the cropped representation to the machine learning model, an embedding representing the cropped representation is generated using the machine learning model. The embedding is mapped to a high dimensional space. Data identifying the aquatic cargo is provided to a database, wherein the data identifying the aquatic cargo comprises an identifier of the aquatic cargo, the embedding, and a mapped region of the high dimensional space.
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公开(公告)号：US20220353422A1
公开(公告)日：2022-11-03
申请号：US17691902
申请日：2022-03-10
Applicant: X Development LLC
Inventor： Barnaby John James , Grace Taixi Brentano , Laura Valentine Chrobak , Zhaoying Yao
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for automated camera positioning for feeding behavior monitoring. In some implementations, a system obtains an image of a scene, a spatial model that corresponds to a subfeeder, and calibration parameters of a camera, the system determines a size of the subfeeder in the image of the scene, the system selects an updated position of the camera relative to the subfeeder, the system provides the updated position of the camera relative to the subfeeder to a winch controller, and the system moves the camera to the updated position.
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