Patents by Inventor Joshua Ryan Smith
Joshua Ryan Smith 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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Publication number: 20250013221Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: September 23, 2024Publication date: January 9, 2025Applicant: Xometry, Inc.Inventors: Valerie R. COFFMAN, Yuan CHEN, Luke S. HENDRIX, William J. SANKEY, Joshua Ryan SMITH, Daniel WHEELER
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Patent number: 12099341Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: July 10, 2023Date of Patent: September 24, 2024Assignee: XOMETRY, INC.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20230350380Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: July 10, 2023Publication date: November 2, 2023Applicant: Xometry, Inc.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Patent number: 11698623Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: May 23, 2022Date of Patent: July 11, 2023Assignee: Xometry, Inc.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20220365509Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: May 23, 2022Publication date: November 17, 2022Applicant: Xometry, Inc.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Patent number: 11347201Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: July 14, 2020Date of Patent: May 31, 2022Assignee: XOMETRY, INC.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20200348646Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: July 14, 2020Publication date: November 5, 2020Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Patent number: 10712727Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: February 10, 2020Date of Patent: July 14, 2020Assignee: XOMETRY, INC.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20200183355Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: February 10, 2020Publication date: June 11, 2020Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Patent number: 10558195Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: April 26, 2019Date of Patent: February 11, 2020Assignee: XOMETRY, INC.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20190271966Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: April 26, 2019Publication date: September 5, 2019Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Patent number: 10281902Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: November 1, 2016Date of Patent: May 7, 2019Assignee: Xometry, Inc.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Patent number: 10274933Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: GrantFiled: July 26, 2018Date of Patent: April 30, 2019Assignee: Xometry, Inc.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20180341246Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: July 26, 2018Publication date: November 29, 2018Applicant: Xometry, Inc.Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
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Publication number: 20180158560Abstract: Techniques are provided for the absorption of energy carried by nuclear radiation by an emitter electrode and converting the energy to useful electrical work. An emitter electrode is provided which absorbs energy from nuclear radiation and emits a thermoelectron current, configured such that parasitic energy loss via direct thermal transport and thermal photon emission is minimized. A thermoelectron energy converter is provided which includes an emitter electrode, a nuclear source in the vicinity of the emitter electrode, a collector electrode, an enclosure, and electrical leads. Nuclear events within the nuclear source causes electron emission from the emitter electrode. The electrons emitted from the emitter electrode travel to the collector electrode and can be driven through an external circuit, outputting electrical power.Type: ApplicationFiled: December 3, 2016Publication date: June 7, 2018Inventor: Joshua Ryan Smith
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Publication number: 20180120813Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.Type: ApplicationFiled: November 1, 2016Publication date: May 3, 2018Applicant: Xometry, Inc.Inventors: Valerie R. COFFMAN, Yuan CHEN, Luke S. HENDRIX, William J. SANKEY, Joshua Ryan SMITH, Daniel WHEELER
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Publication number: 20150357068Abstract: Techniques are provided for emission of an electron current from an electrode and converting energy released by nuclear decay to useful electrical work. An electrode assembly is provided which includes an emitter material and a radioactive source such that nuclear decay from the radioactive source causes or enhances electron emission from the electrode. A thermoelectron energy converter is provided which includes an emitter electrode, a radioactive source in the vicinity of the emitter electrode, a collector electrode, an enclosure, and electrical leads. Nuclear decay from the radioactive source causes or enhances electron emission from the emitter electrode. The electrons emitted from the emitter electrode travel to the collector electrode and can be driven through an external circuit, outputting electrical power.Type: ApplicationFiled: August 5, 2014Publication date: December 10, 2015Inventor: Joshua Ryan Smith