公开(公告)号：US20230188940A1

公开(公告)日：2023-06-15

申请号：US17726647

申请日：2022-04-22

Applicant: X DEVELOPMENT LLC

Inventor： David Andre ,  Erich Karl Nachbar

IPC: H04W4/029 ,  G01S5/02 ,  H04W52/36 ,  H04B17/318

CPC classification number: H04W4/029 ,  G01S5/0284 ,  H04W52/367 ,  H04B17/318

Abstract: The technology enables locating asset tracking tags based on a ramped sequence of signals from one or more beacon tracking tags. The sequence includes at least one minimum power signal and at least one maximum power signal. Each signal in the sequence has a tag identifier and an initial signal strength value. Each beacon signal in the ramped sequence is associated with the time at which that beacon signal was received by a reader. Each beacon signal is also associated with a received signal strength at reception. A location of the beacon tracking tag is estimated according to the signals in the sequence based on the difference between the initial and received signal strengths. A position of the reader device is identified based on the beacon tag's location. An asset tracking tag location is identified based on the reader's location and packets received by the reader from the asset tag.

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：US11673329B2

公开(公告)日：2023-06-13

申请号：US17869613

申请日：2022-07-20

Applicant: X Development LLC

Inventor： Matthew Dixon Eisaman ,  Dominico P. Julian ,  Benoit Schillings ,  Brian John Adolf

IPC: B29C64/264 ,  G03H1/02 ,  B29C64/10 ,  G03H3/00 ,  B29C64/393

CPC classification number: B29C64/264 ,  B29C64/10 ,  B29C64/393 ,  G03H1/0248 ,  G03H3/00

Abstract: An apparatus includes a precursor dispenser for dispensing a precursor material into a workspace, one or more acoustic sources configured to direct acoustic waves towards the workspace to provide acoustic fields that arrange the precursor material in a three-dimensional shape in the workspace, one or more sensors configured to detect a distribution of the precursor material in the workspace, and an electronic controller in communication with the precursor dispenser, the one or more acoustic sources, and the one or more sensors, the electronic controller being programmed to cause the one or more acoustic sources to adjust the acoustic fields to reduce deviations in the distribution of the precursor material from the three-dimensional shape in the workspace.

公开(公告)号：US20230177668A1

公开(公告)日：2023-06-08

申请号：US17457338

申请日：2021-12-02

Applicant: X Development LLC

Inventor： Julia Black Ling ,  Laura Valentine Chrobak

IPC: G06T7/00 ,  G06N3/08 ,  A01K61/95

CPC classification number: G06T7/0004 ,  G06N3/08 ,  A01K61/95

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater camera biomass prediction aggregation. In some implementations, an exemplary method includes obtaining images of fish captured by an underwater camera; providing data of the images to a trained model; obtaining output of the trained model indicating the likelihoods that the biomass of fish are within multiple ranges; combining likelihoods of the output based on one or more ranges common to likelihoods of two or more fish to generate a biomass distribution; and determining an action based on the biomass distribution.

公开(公告)号：US20230177407A1

公开(公告)日：2023-06-08

申请号：US18075521

申请日：2022-12-06

Applicant: X Development LLC

Inventor： Akshina Gupta ,  Eliot Julien Cowan ,  Krishna Kumar Rao

IPC: G06N20/20

CPC classification number: G06N20/20

Abstract: Methods, systems, and apparatus for providing a ML model for inference, the ML model having been trained using a first set of training data to provide predictions associated with an adverse event, after training of the ML model, receiving data from one or more data sources, the data representative of characteristics relevant to predictions associated with the adverse event, providing a second set of training data, determining, by a trigger module, a trigger decision based on a set of signals at least partially determined from the second set of training data, the trigger decision indicating whether the ML model is to be one of updated and retrained based on the second set of training data, and selectively executing one of updating and retraining of the ML model using at least a portion of the second set of training data in response to the trigger decision.

公开(公告)号：US20230172169A1

公开(公告)日：2023-06-08

申请号：US17541061

申请日：2021-12-02

Applicant: X Development LLC

Inventor： Matthew Aaron Knoll ,  Harrison Pham ,  Ryan Heacock ,  Matthew Stokes

IPC: A01K61/85 ,  G06T7/70 ,  G06T7/20 ,  H04N13/204 ,  G06V20/05 ,  H04N5/247 ,  G06T11/00 ,  G06V10/22

CPC classification number: A01K61/85 ,  G06T7/70 ,  G06T7/20 ,  H04N13/204 ,  G06V20/05 ,  H04N5/247 ,  G06T11/001 ,  G06V10/225 ,  G06T2200/24 ,  G06T2207/10021

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater feed movement detection. In one aspect, the method may include the actions of obtaining images captured at different time points, where the images are captured by a camera and indicate feed that has been dispersed by a feeder for aquatic livestock inside an enclosure; determining, for each image, respective locations of the feed indicated by the image; determining, from the respective locations of the feed, a respective movement of the feed over the different time points; determining, based on the respective feed movement of the feed over the different time points, water current movement within the enclosure for the aquatic livestock; and outputting an indication of the water current movement.

公开(公告)号：US20230170059A1

公开(公告)日：2023-06-01

申请号：US17967685

申请日：2022-10-17

Applicant: X Development LLC

Inventor： Tusharkumar Gadhiya ,  Falak Shah ,  Nisarg Vyas ,  Julia Yang ,  Vahe Gharakhanyan ,  Alexander Holiday

IPC: G16C20/70 ,  G16C20/20 ,  G16C20/80

CPC classification number: G16C20/70 ,  G16C20/20 ,  G16C20/80

Abstract: Computer-implemented methods may include accessing a multi-dimensional embedding space that supports relating embeddings of molecules to predicted values of a given property of the molecules. The method may also include identifying one or more points of interest within the embedding space based on the predicted values. Each of the one or more points of interest may include a set of coordinate values within the multi-dimensional embedding space and may be associated with a corresponding predicted value of the given property. The method may further include generating, for each of the one or more points of interest, a structural representation of a molecule by transforming the set of coordinate values included in the point of interest using a decoder network. The method may include outputting a result that identifies, for each of the one or more points of interest, the structural representation of the molecule corresponding to the point of interest.

公开(公告)号：US11656923B2

公开(公告)日：2023-05-23

申请号：US17880207

申请日：2022-08-03

Applicant: X Development LLC

Inventor： David Allison ,  Nathan Pooley ,  Craig Latimer

IPC: G06F9/44 ,  G06F9/54

CPC classification number: G06F9/544 ,  G06F9/546

Abstract: A method includes creating a publisher configured to send messages over a channel having a shared memory. The method includes creating at least one subscriber configured to receive the messages over the channel by sequentially referencing memory slots of the plurality of memory slots. The method includes determining that the next sequential memory slot is currently referenced by a subscriber. The method includes delaying sending the message by the publisher based on determining that the next sequential memory slot is currently referenced by the subscriber. The method includes receiving an event trigger indicative of message reading by the subscriber. The method includes, responsive to receiving the event trigger, determining that the next sequential memory slot is not currently referenced. The method includes sending the message to the next sequential memory slot based on determining that the next sequential memory slot is not currently referenced.

公开(公告)号：US11651602B1

公开(公告)日：2023-05-16

申请号：US17060002

申请日：2020-09-30

Applicant: X Development LLC

Inventor： Vadim Tschernezki ,  Lance Co Ting Keh ,  Hongxu Ma ,  Allen Richard Zhao ,  Jie Jacquot

IPC: G06V20/64 ,  G06K9/62 ,  G06N3/08 ,  G06N20/00

CPC classification number: G06V20/64 ,  G06K9/627 ,  G06K9/6256 ,  G06N3/08 ,  G06N20/00

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for machine learning classification based on separate processing of multiple views. In some implementations, a system obtains image data for multiple images showing different views of an object. A machine learning model is used to generate a separate output based on each the multiple images individually. The outputs for the respective images are combined to generate a combined output. A predicted characteristic of the object is determined based on the combined output. An indication of the predicted characteristic of the object is provided.

公开(公告)号：US20230145869A1

公开(公告)日：2023-05-11

申请号：US18054317

申请日：2022-11-10

Applicant: X Development LLC

Inventor： Courtney Kobata

IPC: B08B1/00 ,  B25J11/00 ,  B08B3/04 ,  B08B13/00

CPC classification number: B08B1/006 ,  B25J11/0085 ,  B08B3/04 ,  B08B1/008 ,  B08B13/00

Abstract: A robotic device includes one or more robotic fingers and an attachable wiping tool. The attachable wiping tool includes a wiping component, a container configured to dispense a fluid, and an attachment component coupled to the robotic device. The attachment component is configured to align the one or more robotic fingers with the container such that the one or more robotic fingers, when actuated, engage the container to cause the container to dispense the fluid to the wiping component.