公开(公告)号：US20220347725A1

公开(公告)日：2022-11-03

申请号：US17832910

申请日：2022-06-06

Applicant: X Development LLC

Inventor： Thomas Peter Hunt ,  Neil David Treat ,  Karen R. Davis ,  Artem Goncharuk ,  Vikram Neal Sahney

IPC: B07C5/342 ,  G06T7/00

Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

公开(公告)号：US20210318465A1

公开(公告)日：2021-10-14

申请号：US17229391

申请日：2021-04-13

Applicant: X Development LLC

Inventor： Kenton Lee Prindle ,  Artem Goncharuk ,  Neil David Treat ,  Kevin Forsythe Smith ,  Thomas Peter Hunt ,  Karen R. Davis ,  Allen Richard Zhao

IPC: G01V99/00 ,  G01V1/28

Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale. Lithological attributes and characteristics present in available geoscience data can be correlated with related remote sensing data using a machine learning model, which can then infer lithological attributes and characteristics for regions where remote sensing data is available, but geoscience data is not.

公开(公告)号：US20220101277A1

公开(公告)日：2022-03-31

申请号：US17033512

申请日：2020-09-25

Applicant: X Development LLC

Inventor： Diosdado Rey Banatao ,  Karen R. Davis ,  Neil Treat ,  Artem Goncharuk ,  Charles Spirakis ,  Sujit Sanjeev ,  Gearoid Murphy ,  Lance Co Ting Keh ,  Rebecca Radkoff ,  Taoran Dai

IPC: G06Q10/00 ,  G06T7/00 ,  G06F16/21 ,  G06N20/00 ,  G01J3/28

Abstract: Systems and methods for managing chemical recycling processes include accessing characterization data of a feedstock, the characterization data comprising one or more spectra collected according to one or more spectroscopic methods. The methods include predicting, using the characterization data, a set of constituent materials included in the feedstock. The methods include predicting a material composition of the feedstock using the predicted set of constituent materials. The methods include identifying, at least in part using the predicted material composition of the feedstock, one or more target products. The methods include generating a set of chemical reaction schemas enabling a conversion of at least part of the feedstock into the one or more target products. The methods also include storing identifications of the material composition of the feedstock, the one or more target products, and the set of chemical reaction schemas in a data store.