Patents by Inventor Maxwell Christian Horton

Maxwell Christian Horton 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: 20220222550
    Abstract: In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.
    Type: Application
    Filed: January 24, 2022
    Publication date: July 14, 2022
    Inventors: Alexander James Oscar Craver KIRCHHOFF, Ali FARHADI, Anish Jnyaneshwar PRABHU, Carlo Eduardo Cabanero DEL MUNDO, Daniel Carl TORMOEN, Hessam BAGHERINEZHAD, Matthew S. WEAVER, Maxwell Christian HORTON, Mohammad RASTEGARI, Robert Stephen KARL, JR., Sophie LEBRECHT
  • Patent number: 11335094
    Abstract: In one embodiment, a method includes accessing a plurality of verified videos depicting one or more subjects, generating, based on the verified videos, a plurality of verified-video feature values corresponding to the subjects, generating, using one or more video transformations based on the verified videos, a plurality of fake videos, generating, based on the fake videos, a plurality of fake-video feature values, training a machine-learning model to determine whether a specified video is a genuine video, wherein the machine-learning model is trained based on the verified-video feature values and the fake-video feature values. The machine-learning model may be trained to classify the specified video in a genuine-video class or a fake-video class, and the machine-learning model maybe trained based on an association between a genuine-video class and the verified-video feature values and an association between a fake-video class and the fake-video feature values.
    Type: Grant
    Filed: August 13, 2019
    Date of Patent: May 17, 2022
    Assignee: Apple Inc.
    Inventors: Maxwell Christian Horton, Ali Farhadi
  • Patent number: 11263540
    Abstract: In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: March 1, 2022
    Assignee: APPLE INC.
    Inventors: Alexander James Oscar Craver Kirchhoff, Ali Farhadi, Anish Jnyaneshwar Prabhu, Carlo Eduardo Cabanero del Mundo, Daniel Carl Tormoen, Hessam Bagherinezhad, Matthew S. Weaver, Maxwell Christian Horton, Mohammad Rastegari, Robert Stephen Karl, Jr., Sophie Lebrecht
  • Publication number: 20210049366
    Abstract: In one embodiment, a method includes accessing a plurality of verified videos depicting one or more subjects, generating, based on the verified videos, a plurality of verified-video feature values corresponding to the subjects, generating, using one or more video transformations based on the verified videos, a plurality of fake videos, generating, based on the fake videos, a plurality of fake-video feature values, training a machine-learning model to determine whether a specified video is a genuine video, wherein the machine-learning model is trained based on the verified-video feature values and the fake-video feature values. The machine-learning model may be trained to classify the specified video in a genuine-video class or a fake-video class, and the machine-learning model maybe trained based on an association between a genuine-video class and the verified-video feature values and an association between a fake-video class and the fake-video feature values.
    Type: Application
    Filed: August 13, 2019
    Publication date: February 18, 2021
    Inventors: Maxwell Christian Horton, Ali Farhadi
  • Publication number: 20190340524
    Abstract: In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.
    Type: Application
    Filed: May 6, 2019
    Publication date: November 7, 2019
    Inventors: Alexander James Oscar Craver Kirchhoff, Ali Farhadi, Anish Jnyaneshwar Prabhu, Carlo Eduardo Cabanero del Mundo, Daniel Carl Tormoen, Hessam Bagherinezhad, Matthew S. Weaver, Maxwell Christian Horton, Mohammad Rastegari, Robert Stephen Karl, JR., Sophie Lebrecht