X Development LLC

Alion Energy, Inc.

Google Inc.

Thomas Peter Hunt

Artem Goncharuk

Neil David Treat

Karen R Davis

Kevin Forsythe Smith

Vikram Neal Sahney

Paul Martin Adriani

Kevin Hennessy

Anders Swahn

Neil Morris

David Andre

Allen Richard Zhao

Rishabh Singh

Joel Fraser Atwater

William Raymond Regan

Charles Nordstrom

Nisarg Vyas

Rebecca Radkoff

Luis Francisco Castro Hernandez

James Daniel Haley

Kenton Lee Prindle

Benjamin Lundquist Saenz

Thomas Gerard Schuhmann, Jr

Todd A Pelman

Philipp Helmut Schmaelzle

Leo Francis Casey

Dominico P Julian

Mark Greise

Robert Baikie

Garrison J Buchanan

Raphael J Feldman

William J Shields

Justin S Hyde

This specification is generally directed to techniques for robust natural language (NL) based control of computer applications. In many implementations, the NL control is at least selectively interactive in that the user feedback input is solicited, and received, in resolving action(s), resolving action set(s), generating domain specific knowledge, and/or in providing feedback on implemented action set(s). The user feedback input can be utilized in further training of machine learning model(s) utilized in the NL based control of the computer applications.

Robust natural language based control of computer applications

A nuclear radiation detector is disclosed. The detector includes a housing including therein: a scintillator; and a multi-pixel optical sensor positioned, relative to the scintillator, to receive photons emitted by the scintillator in response to interactions with nuclear radiation. The housing isolates the scintillator and the multi-pixel optical sensor from external light. The detector includes one or more processors operably connectable to the multi-pixel optical sensor; and one or more data stores coupled to the processors having instructions stored thereon which cause the processors to perform operations. The operations include: responsive to the multi-pixel optical sensor detecting photons emitted by the scintillator, receiving, from the multi-pixel optical sensor, data signals indicating 1) spatial locations of individual pixels that detected the photons and 2) temporal data indicating when the detections occurred; and generating, from the data signals, a spatially and temporally resolved image of radiation incident on the scintillator.

Nuclear radiation detection

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.

Subsurface lithological model with machine learning

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.

Determining ore characteristics

Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.

Improving blast patterns

Blast patterns

A method for ship ballasting includes receiving, at a carbon negative energy storage system, input comprising calcium oxide and water and reacting, within a reaction chamber of the carbon negative energy storage system, the calcium oxide and water to release energy and generate calcium hydroxide. The method includes directing, by the carbon negative energy storage system, the released energy to a requesting end user and providing, by the carbon negative energy storage system, the calcium hydroxide to a marine vessel ballasting system. The method includes releasing a mixture of the calcium hydroxide and ballast water from the marine vessel ballasting system into the ocean to sequester atmospheric CO.

Carbon negative ship ballasting system

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing ultrasonic signals to recognize mouthed articulations. One of the methods includes generating an ultrasonic carrier signal and coupling the ultrasonic carrier signal to a person's vocal tract. The method includes detecting a modulated ultrasonic signal, the modulated ultrasonic signal corresponding to the ultrasonic carrier signal modulated by the person's vocal tract to include information about articulations mouthed by the person; analyzing, using a data processing apparatus, the modulated ultrasonic signal to recognize the articulations mouthed by the person from the information in the modulated ultrasonic signal; and generating, using the data processing apparatus, an output in response to the recognized articulations.

Ultrasonic speech recognition

A method for energy generation includes receiving, at a carbon negative energy generation system, input including calcium oxide and water and reacting, within a reaction chamber of the carbon negative energy generation system, the calcium oxide and water to release energy and generate calcium hydroxide. The method further includes directing, by the carbon negative energy generation system, the released energy to facilitate propulsion or onboard electricity generation and dispensing, by the carbon negative energy generation system, the calcium hydroxide into the ocean to sequester atmospheric CO.

Carbon negative energy generation system

A drill coil includes a drill tube, a fluid conduit, a power or communication line, and at least one of a communication wire or a power line. The drill tube defines a longitudinal axis and includes a tubular wall forming a drill tube lumen along the longitudinal axis. The tubular wall defines at least one utility lumen along the longitudinal axis. The power or communication line is disposed in the at least one utility lumen. The fluid conduit is housed in the drill tube lumen and extends along the longitudinal axis and configured to convey a fluid therethrough. The at least one of the communication wire or the power line is housed in the drill tube lumen adjacent the fluid conduit.

Drill coil and method of coiled tube drilling

Rotatable support system for mounting one or more photovoltaic modules and method thereof. The system includes a stiffener configured to be attached to the one or more photovoltaic modules, a column connected to the stiffener through at least a rotatable component, and a foot connected to the column. The column is configured to rotate from a folded position towards an unfolded position, and stop at the unfolded position separated from the folded position by an angle difference. The angle difference represents the maximum range of rotation for the column.

Rotatable support systems for photovoltaic modules and methods thereof

Growing community of inventors

Oakland, CA, United States of America

Thomas Peter Hunt