公开(公告)号：US20240331518A1

公开(公告)日：2024-10-03

申请号：US18589385

申请日：2024-02-27

Applicant: X Development LLC

Inventor： Eliot Julien Cowan ,  Avery Noam Cowan ,  Akshina Gupta

IPC: G08B17/00 ,  G06F16/29 ,  G06T7/77 ,  G06T11/20

CPC classification number: G08B17/005 ,  G06F16/29 ,  G06T7/77 ,  G06T11/20 ,  G06T2207/10032 ,  G06T2210/12

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying wildfire in satellite imagery. In some implementations, a server obtains a satellite image of a geographic region and a date corresponding to when the satellite image was generated. The server determines a number of pixels in the satellite image that are indicated as on fire. The server obtains satellite imagery of the geographic region from before the date. The server generates a statistical distribution from the satellite imagery. The server determines a likelihood that the satellite image illustrates fire based on a comparison of the determined number of pixels in the satellite image that are indicated as on fire to the generated statistical distribution. The server can compare the determined likelihood to a threshold. In response to comparing the determined likelihood to the threshold, the server provides an indication that the satellite image illustrates fire.

公开(公告)号：US20230196509A1

公开(公告)日：2023-06-22

申请号：US18169272

申请日：2023-02-15

Applicant: X Development LLC

Inventor： Eliot Julien Cowan

IPC: G06T3/40 ,  G06V20/13 ,  G06F18/21 ,  G06F18/214 ,  G06N3/045 ,  G06F18/25 ,  G06N3/08

CPC classification number: G06T3/4046 ,  G06V20/13 ,  G06F18/217 ,  G06F18/214 ,  G06N3/045 ,  G06F18/251 ,  G06N3/08 ,  G06T3/4053

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a synthesized signal. A computer-implemented system obtains generator input data including an input signal having one or more first characteristics, processes the generator input data to generate output data including a synthesized signal having one or more second characteristics using a generator neural network, and outputs the synthesized signal to a device. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network. The discriminator neural network is configured to process discriminator input data that combines a discriminator input signal having the one or more second characteristics with at least a portion of generator input data to generate a prediction of whether the discriminator input signal is a real signal or a synthesized signal.

公开(公告)号：US20250036913A1

公开(公告)日：2025-01-30

申请号：US18358695

申请日：2023-07-25

Applicant: X Development LLC

Inventor： Akshina Gupta ,  Eliot Julien Cowan

IPC: G06N3/04

Abstract: Methods, systems, and apparatus for using one or more machine learning (ML) models to mitigate effects of climate change by evaluating impact of wildfire mitigation actions (WMAs) for selective deployment of WMAs.

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：US12080137B2

公开(公告)日：2024-09-03

申请号：US17368256

申请日：2021-07-06

Applicant: X Development LLC

Inventor： Eliot Julien Cowan ,  Avery Noam Cowan ,  Akshina Gupta

IPC: G08B17/00 ,  G06F16/29 ,  G06T7/77 ,  G06T11/20

CPC classification number: G08B17/005 ,  G06F16/29 ,  G06T7/77 ,  G06T11/20 ,  G06T2207/10032 ,  G06T2210/12

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying wildfire in satellite imagery. In some implementations, a server obtains a satellite image of a geographic region and a date corresponding to when the satellite image was generated. The server determines a number of pixels in the satellite image that are indicated as on fire. The server obtains satellite imagery of the geographic region from before the date. The server generates a statistical distribution from the satellite imagery. The server determines a likelihood that the satellite image illustrates fire based on a comparison of the determined number of pixels in the satellite image that are indicated as on fire to the generated statistical distribution. The server can compare the determined likelihood to a threshold. In response to comparing the determined likelihood to the threshold, the server provides an indication that the satellite image illustrates fire.

公开(公告)号：US20240233346A9

公开(公告)日：2024-07-11

申请号：US18493018

申请日：2023-10-24

Applicant: X Development LLC

Inventor： Avery Noam Cowan ,  Nikhil Suresh ,  Akshina Gupta ,  David Andre ,  Eliot Julien Cowan ,  Gearoid Murphy

IPC: G06V10/776 ,  G06V10/74

CPC classification number: G06V10/776 ,  G06V10/761

Abstract: Methods, systems, and apparatus for obtaining input features representative of a region of space, processing an input comprising the input features through the ML model to generate a prediction describing predicted features of the region of space, obtaining result features describing the region of space, determining a value of at least one evaluation metric that relates the predicted features and the result features, that at least one evaluation metric including one of a distance score, a pyramiding density error, and min-max intersection over union (IOU) score, and training the ML model responsive to the at least one evaluation metric. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

公开(公告)号：US20220366533A1

公开(公告)日：2022-11-17

申请号：US17322562

申请日：2021-05-17

Applicant: X Development LLC

Inventor： Eliot Julien Cowan ,  David Andre ,  Benjamin Goddard Mullet

IPC: G06T3/40 ,  G06T7/90 ,  G06T7/194

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating high-resolution fire distribution maps. In some implementations, a computer-implemented system obtains a low-resolution distribution map indicating fire distribution of an area with fire burning and a reference map indicating features of the same area. The system processes the low-resolution distribution map and the reference map using a generator neural network to generate output data including a high-resolution synthesized distribution map indicating fire distribution of the area. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network that outputs a prediction of whether an input to the discriminator neural network is a real distribution map or a synthesized distribution map.

公开(公告)号：US12100119B2

公开(公告)日：2024-09-24

申请号：US18169272

申请日：2023-02-15

Applicant: X Development LLC

Inventor： Eliot Julien Cowan

IPC: G06T3/4046 ,  G06F18/21 ,  G06F18/214 ,  G06F18/25 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4053 ,  G06V20/13

CPC classification number: G06T3/4046 ,  G06F18/214 ,  G06F18/217 ,  G06F18/251 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4053 ,  G06V20/13

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a synthesized signal. A computer-implemented system obtains generator input data including an input signal having one or more first characteristics, processes the generator input data to generate output data including a synthesized signal having one or more second characteristics using a generator neural network, and outputs the synthesized signal to a device. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network. The discriminator neural network is configured to process discriminator input data that combines a discriminator input signal having the one or more second characteristics with at least a portion of generator input data to generate a prediction of whether the discriminator input signal is a real signal or a synthesized signal.

公开(公告)号：US20240135691A1

公开(公告)日：2024-04-25

申请号：US18493018

申请日：2023-10-23

Applicant: X Development LLC

Inventor： Avery Noam Cowan ,  Nikhil Suresh ,  Akshina Gupta ,  David Andre ,  Eliot Julien Cowan

IPC: G06V10/776 ,  G06V10/74

CPC classification number: G06V10/776 ,  G06V10/761

Abstract: Methods, systems, and apparatus for obtaining input features representative of a region of space, processing an input comprising the input features through the ML model to generate a prediction describing predicted features of the region of space, obtaining result features describing the region of space, determining a value of at least one evaluation metric that relates the predicted features and the result features, that at least one evaluation metric including one of a distance score, a pyramiding density error, and min-max intersection over union (IOU) score, and training the ML model responsive to the at least one evaluation metric. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

公开(公告)号：US11610284B2

公开(公告)日：2023-03-21

申请号：US17371319

申请日：2021-07-09

Applicant: X Development LLC

Inventor： Eliot Julien Cowan

IPC: G06T3/40 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06V20/13

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a synthesized signal. In some implementations, a computer-implemented system obtains generator input data including at least an input signal having one or more first characteristics, processes the generator input data to generate output data including a synthesized signal having one or more second characteristics using a generator neural network, and outputs the synthesized signal to a device. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network. The discriminator neural network is configured to process discriminator input data that combines a discriminator input signal having the one or more second characteristics with at least a portion of generator input data to generate a prediction of whether the discriminator input signal is a real signal provided in one of the plurality of training examples or a synthesized signal outputted by the generator neural network.