Patents by Inventor Karen R. Davis
Karen R. Davis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11867608Abstract: 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.Type: GrantFiled: June 6, 2022Date of Patent: January 9, 2024Assignee: X Development LLCInventors: Thomas Peter Hunt, Neil David Treat, Karen R Davis, Artem Goncharuk, Vikram Neal Sahney
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Patent number: 11828582Abstract: 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.Type: GrantFiled: October 17, 2022Date of Patent: November 28, 2023Assignee: X Development LLCInventors: Neil David Treat, Thomas Peter Hunt, Artem Goncharuk, Karen R Davis, Vikram Neal Sahney
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Publication number: 20230194750Abstract: 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.Type: ApplicationFiled: February 13, 2023Publication date: June 22, 2023Inventors: Kenton Lee Prindle, Artem Goncharuk, Neil David Treat, Kevin Forsythe Smith, Thomas Peter Hunt, Karen R Davis, Allen Richard Zhao
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Publication number: 20230065981Abstract: 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.Type: ApplicationFiled: October 17, 2022Publication date: March 2, 2023Inventors: Neil David Treat, Thomas Peter Hunt, Artem Goncharuk, Karen R Davis, Vikram Neal Sahney
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Patent number: 11592594Abstract: 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.Type: GrantFiled: April 13, 2021Date of Patent: February 28, 2023Assignee: X Development LLCInventors: Kenton Lee Prindle, Artem Goncharuk, Neil David Treat, Kevin Forsythe Smith, Thomas Peter Hunt, Karen R Davis, Allen Richard Zhao
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Publication number: 20220347725Abstract: 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.Type: ApplicationFiled: June 6, 2022Publication date: November 3, 2022Inventors: Thomas Peter Hunt, Neil David Treat, Karen R. Davis, Artem Goncharuk, Vikram Neal Sahney
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Patent number: 11475659Abstract: 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.Type: GrantFiled: August 12, 2020Date of Patent: October 18, 2022Assignee: X Development LLCInventors: Neil David Treat, Thomas Peter Hunt, Artem Goncharuk, Karen R Davis, Vikram Neal Sahney
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Patent number: 11351576Abstract: 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.Type: GrantFiled: June 4, 2020Date of Patent: June 7, 2022Assignee: X Development LLCInventors: Thomas Peter Hunt, Neil David Treat, Karen R Davis, Artem Goncharuk, Vikram Neal Sahney
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Publication number: 20220101277Abstract: 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.Type: ApplicationFiled: September 25, 2020Publication date: March 31, 2022Inventors: Diosdado Rey Banatao, Karen R. Davis, Neil Treat, Artem Goncharuk, Charles Spirakis, Sujit Sanjeev, Gearoid Murphy, Lance Co Ting Keh, Rebecca Radkoff, Taoran Dai
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Publication number: 20210318465Abstract: 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.Type: ApplicationFiled: April 13, 2021Publication date: October 14, 2021Inventors: Kenton Lee Prindle, Artem Goncharuk, Neil David Treat, Kevin Forsythe Smith, Thomas Peter Hunt, Karen R. Davis, Allen Richard Zhao
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Publication number: 20210049344Abstract: 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.Type: ApplicationFiled: August 12, 2020Publication date: February 18, 2021Inventors: Neil David Treat, Thomas Peter Hunt, Artem Goncharuk, Karen R Davis, Vikram Neal Sahney
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Publication number: 20200384506Abstract: 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.Type: ApplicationFiled: June 4, 2020Publication date: December 10, 2020Inventors: Thomas Peter Hunt, Neil David Treat, Karen R. Davis, Artem Goncharuk, Vikram Neal Sahney