Patents by Inventor Gearoid Murphy
Gearoid Murphy 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: 11854258Abstract: Methods, systems, and apparatus for training a machine-learned model using satellite imagery and physical river gauge data as ground-truth information. Methods include receiving, from a user in a graphical user interface presented on a user device, a depth request for depth information at a geolocation. At least two satellite images are received, including the geolocation where a difference in respective capture times of each of the satellite images is within a threshold. The satellite images for the geolocation are provided to a machine-learned river gauge model. The machine-learned river gauge model determines depth information for the geolocation utilizing the satellite images, and provides, to the user in the graphical user interface, the depth information at the geolocation.Type: GrantFiled: June 9, 2021Date of Patent: December 26, 2023Assignee: X Development LLCInventor: Gearoid Murphy
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Publication number: 20230324284Abstract: Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.Type: ApplicationFiled: June 6, 2023Publication date: October 12, 2023Applicant: X Development LLCInventors: Gearoid Murphy, Diosdado Rey Banatao, Artem Goncharuk, Neil Treat
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Patent number: 11781972Abstract: Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.Type: GrantFiled: November 5, 2020Date of Patent: October 10, 2023Assignee: X Development LLCInventors: Gearoid Murphy, Diosdado Rey Banatao, Artem Goncharuk, Neil Treat
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Publication number: 20230158668Abstract: A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.Type: ApplicationFiled: January 24, 2023Publication date: May 25, 2023Inventors: Gearoid Murphy, Patrick Leger
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Patent number: 11630057Abstract: The present disclosure relates to techniques for deformulating the spectra of arbitrary compound formulations such as polymer formulations into their chemical components. Particularly, aspects of the present disclosure are directed to obtaining an initial set of spectra for a plurality of samples comprising pure samples and composite samples, constructing a basis set of spectra for a plurality of pure samples based on the initial set of spectra, and providing or outputting the basis set of spectrum. The basis set of spectra is constructed in an iterative process that attempts to decompose, using a decomposition algorithm or model, the spectrum from the initial set of spectra in order to differentiate the pure samples from the composite samples. The basis set of spectra may then be used to deduce the composition of a material from a spectrogram.Type: GrantFiled: April 11, 2022Date of Patent: April 18, 2023Assignee: X Development LLCInventors: Gearoid Murphy, Artem Goncharuk, Lance Co Ting Keh, Diosdado Rey Banatao, Sujit Sanjeev
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Publication number: 20230062938Abstract: Methods and systems for using multiple hyperspectral cameras sensitive to different wavelengths to predict characteristics of objects for further processing, including recycling, are described. The multiple hyperspectral images can be used to predict higher resolution spectra by using a trained machine learning model. The higher resolution spectra may be more easily analyzed to sort plastics into a recyclability category. The hyperspectral images may also be used to identify and analyze dark or black plastics, which are challenging for SWIR, MWIR, and other wavelengths. The machine learning model may also predict the base polymers and contaminants of plastic objects for recycling. The hyperspectral images may be used to predict recyclability and other characteristics using a trained machine learning model.Type: ApplicationFiled: August 19, 2022Publication date: March 2, 2023Applicant: X Development LLCInventors: Gearoid Murphy, Alexander Holiday, Diosdado Banatao, Allen Zhao, Shruti Badhwar
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Patent number: 11584004Abstract: A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.Type: GrantFiled: December 17, 2019Date of Patent: February 21, 2023Inventors: Gearoid Murphy, Patrick Leger
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Publication number: 20230023641Abstract: Image data is obtained that indicates an extent to which one or more objects reflect, scatter, or absorb light at each of multiple wavelength bands, where the image data was collected while a conveyor belt was moving the object(s). The image data is preprocessed by performing an analysis across frequencies and/or performing an analysis across a representation of a spatial dimension. A set of feature values is generated using the image preprocessed image data. A machine-learning model generates an output using to the feature values. A prediction of an identity of a chemical in the one or more objects or a level of one or more chemicals in the object(s) is generated using the output. Data is output indicating the prediction of the identity of the chemical in the object(s) or the level of the one or more chemicals in at least one of the one or more objects.Type: ApplicationFiled: July 11, 2022Publication date: January 26, 2023Applicant: X Development LLCInventors: Daniel Rosenfeld, Alexander Holiday, Gearoid Murphy, Allen Richard Zhao, Hongxu Ma, Cyrus Behroozi, Derek Werdenberg, Jie Jacquot, Vadim Tschernezki
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Publication number: 20220236171Abstract: The present disclosure relates to techniques for deformulating the spectra of arbitrary compound formulations such as polymer formulations into their chemical components. Particularly, aspects of the present disclosure are directed to obtaining an initial set of spectra for a plurality of samples comprising pure samples and composite samples, constructing a basis set of spectra for a plurality of pure samples based on the initial set of spectra, and providing or outputting the basis set of spectrum. The basis set of spectra is constructed in an iterative process that attempts to decompose, using a decomposition algorithm or model, the spectrum from the initial set of spectra in order to differentiate the pure samples from the composite samples. The basis set of spectra may then be used to deduce the composition of a material from a spectrogram.Type: ApplicationFiled: April 11, 2022Publication date: July 28, 2022Inventors: Gearoid Murphy, Artem Goncharuk, Lance Co Ting Keh, Diosdado Rey Banatao, Sujit Sanjeev
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Patent number: 11353394Abstract: The present disclosure relates to techniques for deformulating the spectra of arbitrary compound formulations such as polymer formulations into their chemical components. Particularly, aspects of the present disclosure are directed to obtaining an initial set of spectra for a plurality of samples comprising pure samples and composite samples, constructing a basis set of spectra for a plurality of pure samples based on the initial set of spectra, and providing or outputting the basis set of spectrum. The basis set of spectra is constructed in an iterative process that attempts to decompose, using a decomposition algorithm or model, the spectrum from the initial set of spectra in order to differentiate the pure samples from the composite samples. The basis set of spectra may then be used to deduce the composition of a material from a spectrogram.Type: GrantFiled: September 30, 2020Date of Patent: June 7, 2022Assignee: X DEVELOPMENT LLCInventors: Gearoid Murphy, Artem Goncharuk, Lance Co Ting Keh, Diosdado Rey Banatao, Sujit Sanjeev
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Publication number: 20220136959Abstract: Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.Type: ApplicationFiled: November 5, 2020Publication date: May 5, 2022Inventors: Gearoid Murphy, Diosdado Rey Banatao, Artem Goncharuk, Neil Treat
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Publication number: 20220101276Abstract: A method for generating spectroscopic data includes inputting, by a computing device, a text string comprising a structural representation of a material to an encoder of a natural language processing (NLP) model implemented with a deep neural network. The method includes generating, using the encoder of the NLP model, an encoded representation of the text string. The text string may include latent chemical bond information of the material. The method includes mapping, by the computing device, the encoded representation including the latent chemical bond information to a spectrum array, the spectrum array including predicted spectroscopic data of the material. The method also includes outputting, by the computing device, the spectrum array.Type: ApplicationFiled: September 30, 2020Publication date: March 31, 2022Inventors: Diosdado Rey Banatao, Gearoid Murphy, Anarbek Iskaliyev
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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: 20220099566Abstract: The present disclosure relates to techniques for deformulating the spectra of arbitrary compound formulations such as polymer formulations into their chemical components. Particularly, aspects of the present disclosure are directed to obtaining an initial set of spectra for a plurality of samples comprising pure samples and composite samples, constructing a basis set of spectra for a plurality of pure samples based on the initial set of spectra, and providing or outputting the basis set of spectrum. The basis set of spectra is constructed in an iterative process that attempts to decompose, using a decomposition algorithm or model, the spectrum from the initial set of spectra in order to differentiate the pure samples from the composite samples. The basis set of spectra may then be used to deduce the composition of a material from a spectrogram.Type: ApplicationFiled: September 30, 2020Publication date: March 31, 2022Inventors: Gearoid Murphy, Artem Goncharuk, Lance Co Ting Keh, Diosdado Rey Banatao, Sujit Sanjeev
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Publication number: 20210178576Abstract: A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.Type: ApplicationFiled: December 17, 2019Publication date: June 17, 2021Inventors: Gearoid Murphy, Patrick Leger