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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：US20240289733A1
公开(公告)日：2024-08-29
申请号：US18589228
申请日：2024-02-27
Applicant: X Development LLC
Inventor： Anikait Singh , David Andre , Grace Taixi Brentano , Karush Suri , Lam Thanh Nguyen , Salil Vijaykumar Pradhan , Gearoid Murphy , Klara Kaleb , Raja Dilip Panjwani , Sze Man Lee , Ashish Jagmohan Chona
IPC: G06Q10/0834 , G06Q10/067
CPC classification number: G06Q10/08345 , G06Q10/067
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a large language model as a common interface between entities in a supply chain network. One of the methods includes receiving, by a supply chain analysis system, a plurality of messages from entities in a supply chain network having a plurality of entities. Each message is provided to a large language model that is configured to generate modified messages that are in a standardized format, wherein the standardized format includes one or more data elements representing a proposed exchange in the supply chain network. The standardized messages are provided to one or more of the entities in the supply chain network to effectuate a communications interface through the large language model for entities in the supply chain network.
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3.发明申请公开(公告)号：US20230004791A1
公开(公告)日：2023-01-05
申请号：US17364444
申请日：2021-06-30
Applicant: X Development LLC
Inventor： Yu Feng , Lam Thanh Nguyen
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing brain emulation neural networks using compressed matrix representations. One of the methods includes obtaining a network input; and processing the network input using a neural network to generate a network output, comprising: processing the network input using an input subnetwork of the neural network to generate an embedding of the network input; and processing the embedding of the network input using a brain emulation subnetwork of the neural network, wherein the brain emulation subnetwork has a brain emulation neural network architecture that represents synaptic connectivity between a plurality of biological neurons in a brain of a biological organism, the processing comprising: obtaining a compressed matrix representation of a sparse matrix of brain emulation parameters; and applying the compressed matrix representation to the embedding of the network input to generate a brain emulation subnetwork output.
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公开(公告)号：US20220414433A1
公开(公告)日：2022-12-29
申请号：US17362721
申请日：2021-06-29
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Lam Thanh Nguyen
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining network architectures based on synaptic connectivity. One of the methods includes processing a network input using a neural network to generate a network output, comprising: processing the network input using an encoder subnetwork of the neural network to generate an embedding of the network input; processing the embedding of the network input using a first connectivity layer of the neural network to generate a first connectivity layer output; processing the first connectivity layer output using a brain emulation subnetwork of the neural network to generate a brain emulation subnetwork output; processing the brain emulation subnetwork output using a second connectivity layer of the neural network to generate a second connectivity layer output; and processing the second connectivity layer output using a decoder subnetwork of the neural network to generate the network output.
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公开(公告)号：US20230196541A1
公开(公告)日：2023-06-22
申请号：US17559641
申请日：2021-12-22
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Lam Thanh Nguyen , Baihan Lin
CPC classification number: G06T7/0004 , G06N3/0454 , G06N3/008 , G06T2207/20084 , G06T2207/30108 , G06T2207/20081
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing defect detection using brain emulation neural networks. One of the methods includes obtaining an image of a manufactured article; processing the image of the manufactured article using an encoder subnetwork of a defect detection neural network to generate an encoder subnetwork output; processing the encoder subnetwork output using a brain emulation subnetwork of the defect detection neural network to generate a brain emulation subnetwork output, wherein the brain emulation subnetwork has an architecture that comprises brain emulation parameters that, when initialized, represent biological connectivity between biological neuronal elements in a brain of a biological organism; processing the brain emulation subnetwork output using a decoder subnetwork of the defect detection neural network to generate a network output that predicts whether the manufactured article includes a defect; and taking an action based on the network output.
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Patent Agency Ranking
公开(公告)号：US20230186622A1
公开(公告)日：2023-06-15
申请号：US17550506
申请日：2021-12-14
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Lam Thanh Nguyen , Baihan Lin
CPC classification number: G06V20/188 , G06N3/0454 , G06V20/17 , G06V10/82 , G06V10/44 , G06T7/11 , G06T7/73 , G06V10/764 , G06T2207/10032 , G06T2207/20084 , G06T2207/30188 , G06T2207/30244 , G06T2207/20221 , G06T2207/20081
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing remote sensing data using brain emulation neural networks. One of the methods includes obtaining an aerial image of a plurality of agricultural plots; processing the aerial image using an encoder subnetwork of a segmentation neural network to generate an encoder subnetwork output; processing the encoder subnetwork output using a brain emulation subnetwork of the segmentation neural network to generate a brain emulation subnetwork output; processing the brain emulation subnetwork output using a decoder subnetwork of the segmentation neural network to generate a network output that defines a segmentation of the aerial image into a plurality of categories including at least one agricultural plot category; and identifying at least one of the plurality of agricultural plots in the aerial image from the segmentation of the aerial image.
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公开(公告)号：US20220414434A1
公开(公告)日：2022-12-29
申请号：US17362747
申请日：2021-06-29
Applicant: X Development LLC
Inventor： Lam Thanh Nguyen
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing connectivity neural network layers. One of the methods includes processing a network input using a neural network to generate a network output, comprising: generating a layer input to a connectivity layer of the neural network based on the network input, wherein the layer input to the connectivity layer comprises a plurality of input values arranged in a plurality of input channels; processing the layer input using the connectivity layer to generate a layer output comprising a plurality of output values arranged in a plurality of output channels; processing the plurality of output channels of the connectivity layer using a brain emulation subnetwork of the neural network to generate a brain emulation subnetwork output; and generating the network output based on the brain emulation subnetwork output.
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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：US20230206059A1
公开(公告)日：2023-06-29
申请号：US17564536
申请日：2021-12-29
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Lam Thanh Nguyen , Baihan Lin
Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus for training a neural network, the method including: obtaining a set of training examples, where each training example includes: (i) a training input, and (ii) a target output, and training the neural network on the set of training examples. Training the neural network can include, for each training example: processing the training input using the neural network to generate a corresponding training output, updating current values of at least a set of encoder sub-network parameters and a set of decoder sub-network parameters by a supervised update, and updating current values of at least a set of brain emulation sub-network parameters by an unsupervised update based on correlations between activation values generated by artificial neurons of the neural network during processing of the training input by the neural network.
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