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).

  • Publication number: 20250013221
    Abstract: 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: Application
    Filed: September 23, 2024
    Publication date: January 9, 2025
    Applicant: Xometry, Inc.
    Inventors: Valerie R. COFFMAN, Yuan CHEN, Luke S. HENDRIX, William J. SANKEY, Joshua Ryan SMITH, Daniel WHEELER
  • Patent number: 12099341
    Abstract: 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: Grant
    Filed: July 10, 2023
    Date of Patent: September 24, 2024
    Assignee: XOMETRY, INC.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20230350380
    Abstract: 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: Application
    Filed: July 10, 2023
    Publication date: November 2, 2023
    Applicant: Xometry, Inc.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 11698623
    Abstract: 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: Grant
    Filed: May 23, 2022
    Date of Patent: July 11, 2023
    Assignee: Xometry, Inc.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20220365509
    Abstract: 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: Application
    Filed: May 23, 2022
    Publication date: November 17, 2022
    Applicant: Xometry, Inc.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 11347201
    Abstract: 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: Grant
    Filed: July 14, 2020
    Date of Patent: May 31, 2022
    Assignee: XOMETRY, INC.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20200348646
    Abstract: 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: Application
    Filed: July 14, 2020
    Publication date: November 5, 2020
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 10712727
    Abstract: 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: Grant
    Filed: February 10, 2020
    Date of Patent: July 14, 2020
    Assignee: XOMETRY, INC.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20200183355
    Abstract: 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: Application
    Filed: February 10, 2020
    Publication date: June 11, 2020
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 10558195
    Abstract: 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: Grant
    Filed: April 26, 2019
    Date of Patent: February 11, 2020
    Assignee: XOMETRY, INC.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20190271966
    Abstract: 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: Application
    Filed: April 26, 2019
    Publication date: September 5, 2019
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 10281902
    Abstract: 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: Grant
    Filed: November 1, 2016
    Date of Patent: May 7, 2019
    Assignee: Xometry, Inc.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 10274933
    Abstract: 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: Grant
    Filed: July 26, 2018
    Date of Patent: April 30, 2019
    Assignee: Xometry, Inc.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20180341246
    Abstract: 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: Application
    Filed: July 26, 2018
    Publication date: November 29, 2018
    Applicant: Xometry, Inc.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20180158560
    Abstract: 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: Application
    Filed: December 3, 2016
    Publication date: June 7, 2018
    Inventor: Joshua Ryan Smith
  • Publication number: 20180120813
    Abstract: 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: Application
    Filed: November 1, 2016
    Publication date: May 3, 2018
    Applicant: Xometry, Inc.
    Inventors: Valerie R. COFFMAN, Yuan CHEN, Luke S. HENDRIX, William J. SANKEY, Joshua Ryan SMITH, Daniel WHEELER
  • Publication number: 20150357068
    Abstract: 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: Application
    Filed: August 5, 2014
    Publication date: December 10, 2015
    Inventor: Joshua Ryan Smith