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：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.

公开(公告)号：US20230259769A1

公开(公告)日：2023-08-17

申请号：US18168027

申请日：2023-02-13

Applicant: X Development LLC

Inventor： Akshina GUPTA ,  Elito Julien Cowan ,  Krishna Kumar Rao

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to perform a machine learning task. In one aspect, a method includes: obtaining a set of training examples; obtaining, for each training example, a respective metadata label that characterizes the training example; and training the machine learning model over a sequence of training stages, including, at each training stage: identifying a selection criterion corresponding to the current training stage that defines a criterion for selecting training examples based on the metadata labels of the training examples; selecting a proper subset of the set training examples as training data for the current training stage in accordance with the selection criterion for the current training stage; and updating the machine learning model by training the machine learning model on the training data for the current training stage.