Patents by Inventor Felix George Hill

Felix George Hill 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: 20240020972
    Abstract: A video processing system configured to analyze a sequence of video frames to detect objects in the video frames and provide information relating to the detected objects in response to a query. The query may comprise, for example, a request for a prediction of a future event, or of the location of an object, or a request for a prediction of what would happen if an object were modified. The system uses a transformer neural network subsystem to process representations of objects in the video.
    Type: Application
    Filed: October 1, 2021
    Publication date: January 18, 2024
    Inventors: Fengning Ding, Adam Anthony Santoro, Felix George Hill, Matthew Botvinick, Luis Piloto
  • Publication number: 20230401835
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a speaker neural network using one or more listener neural networks.
    Type: Application
    Filed: May 19, 2023
    Publication date: December 14, 2023
    Inventors: Aaditya K. Singh, Fengning Ding, Felix George Hill, Andrew Kyle Lampinen
  • Publication number: 20220318516
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent interacting with an environment. In one aspect, a system includes a language encoder model that is configured to receive a text string in a particular natural language, and process the text string to generate a text embedding of the text string. The system includes an observation encoder neural network that is configured to receive an observation characterizing a state of the environment, and process the observation to generate an observation embedding of the observation. The system includes a subsystem that is configured to obtain a current text embedding of a current text string and a current observation embedding of a current observation. The subsystem is configured to select an action to be performed by the agent in response to the current observation.
    Type: Application
    Filed: May 16, 2022
    Publication date: October 6, 2022
    Inventors: Karl Moritz Hermann, Philip Blunsom, Felix George Hill
  • Patent number: 11354509
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent interacting with an environment. In one aspect, a system includes a language encoder model that is configured to receive a text string in a particular natural language, and process the text string to generate a text embedding of the text string. The system includes an observation encoder neural network that is configured to receive an observation characterizing a state of the environment, and process the observation to generate an observation embedding of the observation. The system includes a subsystem that is configured to obtain a current text embedding of a current text string and a current observation embedding of a current observation. The subsystem is configured to select an action to be performed by the agent in response to the current observation.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: June 7, 2022
    Assignee: DeepMind Technologies Limited
    Inventors: Karl Moritz Hermann, Philip Blunsom, Felix George Hill
  • Publication number: 20210110115
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent interacting with an environment. In one aspect, a system includes a language encoder model that is configured to receive a text string in a particular natural language, and process the text string to generate a text embedding of the text string. The system includes an observation encoder neural network that is configured to receive an observation characterizing a state of the environment, and process the observation to generate an observation embedding of the observation. The system includes a subsystem that is configured to obtain a current text embedding of a current text string and a current observation embedding of a current observation. The subsystem is configured to select an action to be performed by the agent in response to the current observation.
    Type: Application
    Filed: June 5, 2018
    Publication date: April 15, 2021
    Inventors: Karl Moritz Hermann, Philip Blunsom, Felix George Hill