Patents by Inventor Sherry Moore

Sherry Moore 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).

  • Augmenting neural networks
    Patent number: 11900263
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting a neural network with additional operations.
    Type: Grant
    Filed: October 24, 2022
    Date of Patent: February 13, 2024
    Assignee: Google LLC
    Inventors: Sherry Moore, Jeremiah Harmsen, Noah Fiedel
  • AUGMENTING NEURAL NETWORKS
    Publication number: 20230119229
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting a neural network with additional operations.
    Type: Application
    Filed: October 24, 2022
    Publication date: April 20, 2023
    Inventors: Sherry Moore, Jeremiah Harmsen, Noah Fiedel
  • Augmenting neural networks
    Patent number: 11481638
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting a neural network with additional operations.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: October 25, 2022
    Assignee: Google LLC
    Inventors: Sherry Moore, Jeremiah Harmsen, Noah Fiedel
  • AUGMENTING NEURAL NETWORKS
    Publication number: 20200210851
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting a neural network with additional operations.
    Type: Application
    Filed: September 12, 2018
    Publication date: July 2, 2020
    Inventors: Sherry Moore, Jeremiah Harmsen, Noah Fiedel
  • OPTIMIZING NEURAL NETWORK ARCHITECTURES
    Publication number: 20190370659
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing neural network architectures. One of the methods includes receiving training data; determining, using the training data, an optimized neural network architecture for performing the machine learning task; and determining trained values of parameters of a neural network having the optimized neural network architecture.
    Type: Application
    Filed: August 14, 2019
    Publication date: December 5, 2019
    Inventors: Jeffrey Adgate Dean, Sherry Moore, Esteban Alberto Real, Thomas M. Breuel