Patents by Inventor Christopher Lewin

Christopher Lewin 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: 20240127138
    Abstract: In one embodiment, a method includes generating a first visual representation of a location of a railroad station in relation to a railroad track, receiving a request for a first maintenance window, and determining that the first maintenance window is associated with the railroad station. The method further includes determining a first time period and generating a second visual representation of information associated with the railroad station during the first time period. The information includes an indication of a time that a train is scheduled to cross the railroad station during the time period. The information also includes an indication of a time duration for a second maintenance window that has been requested during the time period.
    Type: Application
    Filed: December 22, 2023
    Publication date: April 18, 2024
    Applicant: BNSF Railway Company
    Inventors: Mitchel Jeffrey-Roy Smith, Daniel Phillip Clark, Karl Lewin, Jose Gerardo Garza, Christopher Jason Thompson
  • Patent number: 11957976
    Abstract: This specification describes a computer-implemented method of predicting the appearance of a deformable object in a video game. The method comprises determining a configuration of a moveable object underlying the deformable object. Input data is inputted into a machine-learning model. The input data comprises a representation of the configuration of the moveable object. A model output is generated as output of the machine-learning model for predicting the appearance of the deformable object. Mesh and texture data for the deformable object is determined from the model output. The deformable object is rendered using the generated mesh and texture data.
    Type: Grant
    Filed: January 12, 2021
    Date of Patent: April 16, 2024
    Assignee: ELECTRONIC ARTS INC.
    Inventor: Christopher Lewin
  • Publication number: 20220176245
    Abstract: This specification describes a computer-implemented method of predicting the appearance of a deformable object in a video game. The method comprises determining a configuration of a moveable object underlying the deformable object. Input data is inputted into a machine-learning model. The input data comprises a representation of the configuration of the moveable object. A model output is generated as output of the machine-learning model for predicting the appearance of the deformable object. Mesh and texture data for the deformable object is determined from the model output. The deformable object is rendered using the generated mesh and texture data.
    Type: Application
    Filed: January 12, 2021
    Publication date: June 9, 2022
    Inventor: Christopher Lewin