Patents by Inventor Jonathan Charles Gallmeier

Jonathan Charles Gallmeier 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).

  • ADAPTIVE FILTER REPLACEMENT IN CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20210012203
    Abstract: Systems, methods, and devices for increasing inference speed of a trained convolutional neural network (CNN). A first computation speed of first filters having a first filter size in a layer of the CNN is determined, and a second computation speed of second filters having a second filter size in the layer of the CNN is determined. The size of at least one of the first filters is changed to the second filter size if the second computation speed is faster than the first computation speed. In some implementations the CNN is retrained, after changing the size of at least one of the first filters to the second filter size, to generate a retrained CNN. The size of a fewer number of the first filters is changed to the second filter size if a key performance indicator loss of the retrained CNN exceeds a threshold.
    Type: Application
    Filed: July 10, 2019
    Publication date: January 14, 2021
    Applicant: Advanced Micro Devices, Inc.
    Inventors: Abhinav Vishnu, Prakash Sathyanath Raghavendra, Tamer M. Elsharnouby, Rachida Kebichi, Walid Ali, Jonathan Charles Gallmeier