公开(公告)号：US12061851B1

公开(公告)日：2024-08-13

申请号：US18313982

申请日：2023-05-08

Applicant: X Development LLC

Inventor： Jesse Lu ,  Brian John Adolf ,  Martin Friedrich Schubert

IPC: G06F30/23 ,  G02B27/00 ,  G06F111/10

CPC classification number: G06F30/23 ,  G02B27/0012 ,  G06F2111/10

Abstract: Methods and systems for designing a photonic computational architecture including a plurality of optical components. At least some of the methods include: defining a loss function within a simulation space composed of a plurality of voxels, the simulation space encompassing the plurality of optical components; defining an initial structure for the photonic computational architecture in the simulation space, at least some of the voxels corresponding to each of the plurality of optical components and having a dimension smaller than an operative wavelength of the computational architecture; determining values for at least one structural parameter and/or at least one functional parameter for each of the plurality of optical components using a numerical solver to solve Maxwell's equations; and defining a final structure of the photonic computational architecture based on the values for the one or more structural and/or functional parameters.

公开(公告)号：US12061715B2

公开(公告)日：2024-08-13

申请号：US17585878

申请日：2022-01-27

Applicant: X Development LLC

Inventor： Joel Fraser Atwater ,  Peter Light

IPC: G06F21/00 ,  G01D4/00 ,  G06F21/62 ,  G06Q50/06

CPC classification number: G06F21/6227 ,  G01D4/00 ,  G06F21/629 ,  G06Q50/06

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing confidential data and confidential programs while providing mutual security to the data and programs. A method includes receiving, from a first system, customer energy data, including data representing energy consumption by a customer; receiving, from a second system, program data representing one or more programs for processing the customer energy data; executing the programs with the customer energy data as input to produce output that includes estimated energy consumption data, while providing security for the program data from access by the first system and any third party and while providing security for the customer energy data and the estimated energy consumption data from access by the second system and any third party; and providing the estimated energy consumption data as output (i) to the first system or (ii) to the customer or (iii) both.

公开(公告)号：US20240257541A1

公开(公告)日：2024-08-01

申请号：US18160841

申请日：2023-01-27

Applicant: X Development LLC

Inventor： Xinyue Li ,  Kshitij Naresh Nikhal ,  Kari Anne Klein ,  Ananya Gupta

IPC: G06V20/64 ,  G06V10/75 ,  G06V10/80 ,  G06V10/82 ,  G06V20/00

CPC classification number: G06V20/647 ,  G06V10/757 ,  G06V10/809 ,  G06V10/82 ,  G06V20/38

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying characteristics of electric grid assets are disclosed. A method includes obtaining a plurality of images, each image depicting at least one utility pole of an electric grid; detecting, in each of the plurality of images, keypoints of the at least one utility pole depicted in the image; determining, using the keypoints from at least two images of a particular utility pole, at least one measurement of the particular utility pole; determining, using the measurement of the particular utility pole, an electrical characteristic of an asset supported by the particular utility pole; and providing the electrical characteristic as an output. The two or more images include images of the particular utility pole captured from multiple different camera perspectives. The asset can include a capacitor, a transformer, a switch, a power line.

公开(公告)号：US12051222B2

公开(公告)日：2024-07-30

申请号：US17374257

申请日：2021-07-13

Applicant: X Development LLC

Inventor： Grace Taixi Brentano ,  Barnaby John James ,  Laura Valentine Chrobak ,  Zhaoying Yao

IPC: G06T7/80 ,  A01K61/10 ,  A01K61/85 ,  A01K61/90

CPC classification number: G06T7/80 ,  A01K61/85 ,  A01K61/90 ,  A01K61/10 ,  G06T2207/30242

Abstract: In one aspect, there is provided a method that includes receiving, by a control system having (i) a first camera configured to obtain an image of a scene, (ii) a winch controller, and (iii) a feeding system configured to deliver a feed to aquaculture, instructions to initiate a calibration of the first camera, determining a calibration state of the first camera, determining a sequence of calibration steps based on the calibration state of the first camera, and executing the sequence of calibration steps to calibrate the first camera.

公开(公告)号：US12049024B2

公开(公告)日：2024-07-30

申请号：US17159496

申请日：2021-01-27

Applicant: X Development LLC

Inventor： Antonio Raymond Papania-Davis ,  Neil David Treat ,  Kathy Feng Liu ,  Scott Glover

IPC: B28C7/02 ,  B28C7/04 ,  G01N15/02 ,  G01N33/38 ,  G16C20/10 ,  G16C20/20 ,  G16C60/00 ,  G01N15/10

CPC classification number: B28C7/024 ,  B28C7/0418 ,  G01N15/02 ,  G01N33/383 ,  G16C20/10 ,  G16C20/20 ,  G16C60/00 ,  G01N2015/1029 ,  G01N2015/103

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for preparing a concrete mixture. One of the methods includes controlling an ingredient metering system to measure and add a plurality of ingredients to a concrete mixture, measuring characteristics of at least one ingredient of the ingredients using a particle analyzer, determining an estimated rheometry measurement of for the concrete mixture, obtaining an actual rheometry measurement of the concrete mixture, and selectively controlling the ingredient metering system to add one or more additional ingredients to the concrete mixture based on a comparison of the estimated rheometry measurement with the actual rheometry measurement.

公开(公告)号：US20240249044A1

公开(公告)日：2024-07-25

申请号：US18099154

申请日：2023-01-19

Applicant: X Development LLC

Inventor： Ananya Gupta ,  Mike Miao He ,  Xinyue Li ,  Phillip Ellsworth Stahlfeld

IPC: G06F30/27

CPC classification number: G06F30/27 ,  G06F2113/04

Abstract: In one aspect, there is provided a method for training a machine learning model to process a graph that represents an electrical system to infer, from the graph, one or more unknown electrical values within the electrical system. In particular, the method includes: obtaining data defining multiple graphs, each graph representing a respective electrical system topology, obtaining, for each electrical system topology and from an electrical simulation system, simulation results indicating an electrical behavior of the respective electrical system topology, and training the machine learning model to predict electrical behaviors of electrical systems including by applying data defining each graph as input to the machine learning model to obtain respective output inferences and adjusting machine learning model parameters responsive to comparisons between the output inferences with simulation results of corresponding electrical system topologies.

公开(公告)号：US20240242004A1

公开(公告)日：2024-07-18

申请号：US18155475

申请日：2023-01-17

Applicant: X Development LLC

Inventor： Raymond Daly ,  Sushant Kumar ,  Sergei Babinskii ,  Amanda McNary

IPC: G06F30/18

CPC classification number: G06F30/18 ,  G06F2113/04

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for efficient storage for electrical grid models, which can include the actions of obtaining a graph storage structure that can include component nodes, each component node representing a component of an electric grid within a computer simulatable model and which can include an identity of the component, wherein each component node is connected to one or more edges, and wherein each edge can include a version identifier, each edge connected to: (i) a second component node or (ii) a value node; obtaining graph update data that can include changes to at least one component; updating the graph storage structure according to the graph update data; and storing at least a subset of the graph update data in association with at least one new edge that includes information indicating the update data is relevant to a new version of the model.

公开(公告)号：US12034478B2

公开(公告)日：2024-07-09

申请号：US17709544

申请日：2022-03-31

Applicant: X Development LLC

Inventor： Paul Csonka ,  Baris Ibrahim Erkmen ,  Devin Brinkley

IPC: H04B10/11

CPC classification number: H04B10/11

Abstract: The technology relates to free-space optical communication systems that correct for errors in tracking and pointing accuracy to maintain connection integrity. Such systems can both proactively and reactively correct for errors in tracking performance and pointing accuracy of terminals within the system. An aspect includes receiving information indicative of at least one external disturbance associated with a communication device. A determination is made for a proactive estimation indicative of a first error associated with an effect of the at least one external disturbance at a current timestep. A determination is made for a reactive estimation indicative of a second error associated with the effect of the at least one external disturbance at a previous timestep. A final control signal is determined based on the proactive estimation and the reactive estimation. A controller is able to actuate an optical assembly of the communication device based on the determined final control signal.

公开(公告)号：US12033405B1

公开(公告)日：2024-07-09

申请号：US18297342

申请日：2023-04-07

Applicant: X Development LLC

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

IPC: G06V20/64 ,  G06F18/214 ,  G06F18/2413 ,  G06N3/08 ,  G06N20/00

CPC classification number: G06V20/64 ,  G06F18/214 ,  G06F18/2413 ,  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：US20240221310A1

公开(公告)日：2024-07-04

申请号：US18397018

申请日：2023-12-27

Applicant: X Development LLC

Inventor： Akshina Gupta ,  Nisarg Ghanyshambhai Vyas ,  Krishna Kumar Rao ,  Rushabh Nikhilkumar Solanki ,  Shivani Jayantkumar Upadhyay

IPC: G06T17/05 ,  G06V10/75

CPC classification number: G06T17/05 ,  G06V10/759

Abstract: Methods, systems, and apparatus for receiving, by a wildfire modeling system, region of interest (ROI) data representative of pixels that represent a geographical ROI, generating, by the wildfire modeling system, transition probabilities for each pixel in the ROI data, determining, by the wildfire modeling system, chained probabilities along each path in a set of paths within the ROI, adjusting, by the wildfire modeling system, chained probabilities based on a likelihood of ignition of a starting pixel represented in the ROI data, combining, by the fire modeling system, the adjusted chained probabilities to provide connectivity data that represents respective likelihood of spread of a wildfire from the starting pixel to each other pixel within the ROI, and displaying a connectivity map that graphically represents connectivity data of each pixel within the ROI.