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

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/00

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.

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

IPC: G06V20/10 ,  G06N3/04 ,  G06V20/17 ,  G06V10/82 ,  G06V10/44 ,  G06T7/11 ,  G06T7/73 ,  G06V10/764

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.

公开(公告)号：US11631000B2

公开(公告)日：2023-04-18

申请号：US16731186

申请日：2019-12-31

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Philip Edwin Watson

IPC: G06Q10/04 ,  G06F16/22 ,  G06N3/02 ,  G06N3/08 ,  G06N3/006 ,  G06N3/04 ,  G06N3/12 ,  G06N3/084

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a student neural network. In one aspect, there is provided a method comprising: processing a training input using the student neural network to generate a student neural network output comprising a respective score for each of a plurality of classes; processing the training input using a brain emulation neural network to generate a brain emulation neural network output comprising a respective score for each of the plurality of classes; and adjusting current values of the student neural network parameters using gradients of an objective function that characterizes a similarity between: (i) the student neural network output for the training input, and (ii) the brain emulation neural network output for the training input.

公开(公告)号：US20220414453A1

公开(公告)日：2022-12-29

申请号：US17360680

申请日：2021-06-28

Applicant: X Development LLC

Inventor： Bangyan Chu ,  Sarah Ann Laszlo

IPC: G06N3/08 ,  G06N3/06 ,  G06K9/62 ,  G06T5/00

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus, the method including receiving a training dataset having multiple training examples, where each training example includes: (i) an image, and (ii) a segmentation defining a target region of the image that has been classified as including pixels in a target category. The method further includes determining a respective refined segmentation for each training example, including, for each training example, processing the target region of the image defined by the segmentation for the training example using a de-noising neural network to generate a network output that defines the refined segmentation for the training example. The method further includes training a segmentation machine learning model on the training examples of the training dataset, including, for each training example training the segmentation machine learning model to process the image included in the training example to generate a model output that matches the refined segmentation for the training example.

公开(公告)号：US20220390961A1

公开(公告)日：2022-12-08

申请号：US17341832

申请日：2021-06-08

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Jeffrey Bush ,  Doris Tang

IPC: G05D1/10 ,  G06N3/04 ,  G06N3/08 ,  G08G5/00 ,  G05D1/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, at each of multiple time steps, sensor data captured by an onboard sensor of a drone at the time step, providing an input including the sensor data to a drone control 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, including instantiating a respective artificial neuron in the brain emulation sub-network corresponding to each of multiple biological neurons in the brain of the biological organism, and instantiating a respective connection between each pair of artificial neurons, processing the input using the drone control neural network to generate an action selection output, and selecting an action to be performed to control the drone at the time step based on the action selection output.

公开(公告)号：US20220387109A1

公开(公告)日：2022-12-08

申请号：US17337020

申请日：2021-06-02

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Benoit Schillings

IPC: A61B34/10 ,  G05B19/4099 ,  B33Y50/00

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus, the method including obtaining a baseline image of a baseline biological organism brain, obtaining a follow-up image of a target biological organism brain, wherein the follow-up image shows at least a damaged region of the target biological organism brain, processing the baseline image and the follow-up image to generate data defining a predicted anatomical microstructure of the damaged region of the target biological organism brain before the target biological organism brain was damaged, and generating a design for a neural prosthesis for replacing the damaged region of the target biological organism brain based on the predicted anatomical microstructure of the damaged region of the target biological organism brain before the target biological organism brain was damaged.

公开(公告)号：US11495333B2

公开(公告)日：2022-11-08

申请号：US16902422

申请日：2020-06-16

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Nina Thigpen ,  Katherine Elise Link ,  Vladimir Miskovic

IPC: G06F16/20 ,  G16H10/20 ,  G06F16/28 ,  G16H50/70 ,  G16H10/60 ,  G06F40/30 ,  G16H50/20 ,  G06Q10/10

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a plurality of answers to a first set of questions. The actions include generating an adjacency matrix based on the question-answer pairs. The actions include determining a network graph that includes question nodes and edges. The actions include identifying one or more clusters of question nodes by applying a community detection algorithm on the network graph. The actions include determining, for each cluster, i) a cluster centrality and ii) a cluster magnitude. The actions include ranking the clusters based on the cluster centralities and the cluster magnitudes of the one or more clusters. The actions include selecting a second set of questions for the user. And, the actions include causing the questions from the second set of questions to be presented to the user.

公开(公告)号：US10716487B2

公开(公告)日：2020-07-21

申请号：US15856043

申请日：2017-12-27

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Philip Edwin Watson ,  Gabriella Levine

IPC: A61B5/0478 ,  A61B5/00 ,  A61B5/04 ,  A61B5/0484

Abstract: A method for obtaining an electroencephalogram (EEG) of a user is disclosed. A reference sensor is attached to the user by connecting a first component of the reference sensor to a second component of the reference sensor, at least a portion of the first component being sub-dermally implanted on or adjacent to a mastoid process of the user. At least one active sensor is attached to the user. A first signal is detected from the reference sensor simultaneously as a second signal is detected from the at least one active sensor. The EEG is obtained based on the first signal and the second signal.

公开(公告)号：US20200205741A1

公开(公告)日：2020-07-02

申请号：US16284646

申请日：2019-02-25

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Georgios Evangelopoulos

IPC: A61B5/00 ,  A61B5/16 ,  A61B5/0484 ,  G06N3/08 ,  G06N20/00 ,  G06F3/01

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a stimulus presentation system to present content to a patient. Obtaining, from a brainwave sensor, electroencephalography (EEG) signals of the patient while the content is being presented to the patient. Identifying, from within the EEG signals of the patient, brainwave signals associated with a brain system of the patient, the brainwave signals representing a response by the patient to the content. Determining, based on providing the brainwave signals input features to a machine learning model, a likelihood that the patient will experience symptoms of anxiety within a period of time. Providing, for display on a user computing device, data indicating the likelihood that the patient will experience the symptoms of anxiety within the period of time.

公开(公告)号：US11647953B2

公开(公告)日：2023-05-16

申请号：US15891740

申请日：2018-02-08

Applicant: X Development LLC

Inventor： Philip Edwin Watson ,  Gabriella Levine ,  Sarah Ann Laszlo

IPC: A61B5/291 ,  A61B5/00 ,  A61B5/375 ,  A61B5/378

CPC classification number: A61B5/6814 ,  A61B5/0006 ,  A61B5/291 ,  A61B5/375 ,  A61B5/378 ,  A61B5/6838 ,  A61B2562/0209

Abstract: A sensor device includes a sensor housing defining a channel extending along a channel axis through the housing from a first side of the sensor housing to a second side of the sensor housing opposite the first side, at least one contact electrode extending from the first side of the housing, an electrically-conducting lead attached to the housing in electrical communication with the at least one contact electrode, and a locking mechanism located in the channel permitting one-way axial motion of a thread threaded through the channel from the first side to the second side.