Patents by Inventor Jon-David HAGUE

Jon-David HAGUE 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).

  • Personalized learning system
    Patent number: 11545042
    Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh including generating topic nodes each corresponding to a topic included in the user knowledge mesh, and generating concept nodes each corresponding to a key learnable concept, wherein each of the topic nodes is connected to another one of the topic nodes, each of the concept nodes is connected to one of the topic nodes, and each of the key learnable concepts includes one or more interactions related to the key learnable concept.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: January 3, 2023
    Assignee: CEREGO JAPAN KABUSHIKI KAISHA
    Inventors: Iain Harlow, Archana Ramalingam, John Braunlin, Kyle Stewart, Laila Vinson, Tyler Duni, Phaedrus Raznikov, Eric Young, Jon-David Hague
  • PERSONALIZED LEARNING SYSTEM
    Publication number: 20220157189
    Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh including generating topic nodes each corresponding to a topic included in the user knowledge mesh, and generating concept nodes each corresponding to a key learnable concept, wherein each of the topic nodes is connected to another one of the topic nodes, each of the concept nodes is connected to one of the topic nodes, and each of the key learnable concepts includes one or more interactions related to the key learnable concept.
    Type: Application
    Filed: January 28, 2022
    Publication date: May 19, 2022
    Inventors: Iain HARLOW, Archana RAMALINGAM, John BRAUNLIN, Kyle STEWART, Laila VINSON, Tyler DUNI, Phaedrus RAZNIKOV, Eric YOUNG, Jon-David HAGUE
  • PERSONALIZED LEARNING SYSTEM
    Publication number: 20220068153
    Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh, wherein the operation of generating the user knowledge mesh includes generating a plurality of topic nodes, each of the plurality of topic nodes corresponding to a topic included in the user knowledge mesh, and generating a plurality of concept nodes, each of the plurality of concept nodes corresponding to a key learnable concept, wherein each of the plurality of topic nodes is connected to another one of the plurality of topic nodes, each of the plurality of concept nodes is connected to one of the plurality of topic nodes, and each of the plurality of key learnable concepts includes one or more interactions related to the key learnable concept.
    Type: Application
    Filed: September 1, 2021
    Publication date: March 3, 2022
    Inventors: Iain HARLOW, Archana RAMALINGAM, John BRAUNLIN, Kyle STEWART, Laila VINSON, Tyler DUNI, Phaedrus RAZNIKOV, Eric YOUNG, Jon-David HAGUE