Patents by Inventor Timothy Atherton

Timothy Atherton 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: 20240160908
    Abstract: Methods and neural network accelerator for online selection of number formats for network parameters of a neural network.
    Type: Application
    Filed: September 29, 2023
    Publication date: May 16, 2024
    Inventors: James Imber, Szabolcs Csefalvay, Biswarup Choudhury, Cagatay Dikici, Timothy Atherton
  • Publication number: 20230117042
    Abstract: A mechanism for performing a discrete Fourier-related transform using a hardware accelerator that comprises fixed-function circuitry including convolution hardware configured to perform one or more convolution operations. A matrix multiplication operation used in the discrete Fourier-related transform is performed by the convolution hardware using a convolution operation. A convolution kernel for the convolution operation is derived from a weight matrix representing a multiplicand or multiplier of the matrix multiplication operation.
    Type: Application
    Filed: October 18, 2022
    Publication date: April 20, 2023
    Inventors: Sandra La Mantia, Cagatay Dikici, James Imber, Timothy Atherton
  • Publication number: 20230021204
    Abstract: A method and data processing system for implementing a neural network containing at least one matrix multiplication operation. The matrix multiplication operation is mapped to a graph of neural network operations including at least one element-wise operation. The at least one element-wise operation is implemented in fixed-function hardware of a neural network accelerator.
    Type: Application
    Filed: June 28, 2022
    Publication date: January 19, 2023
    Inventors: Biswarup Choudhury, Aria Ahmadi, James Imber, Cagatay Dikici, Timothy Atherton
  • Publication number: 20220391172
    Abstract: Methods for implementing an exponential operation, and a softmax neural network layer, in neural network accelerator hardware, and a data processing system for implementing the exponential operation and a data processing system for implementing the softmax layer. The exponential operation or softmax layer is mapped to a plurality of elementary neural network operations, and the neural network accelerator hardware evaluates these operations, to produce the result of the operation or layer respectively.
    Type: Application
    Filed: February 25, 2022
    Publication date: December 8, 2022
    Inventors: James Imber, Biswarup Choudhury, Cagatay Dikici, Timothy Atherton, Aria Ahmadi
  • Publication number: 20220253716
    Abstract: A method and data processing system implement a neural network containing at least one matrix multiplication operation. The matrix multiplication operation is mapped to a graph of neural network operations including at least one transformation and at least one convolution. The at least one convolution is implemented in fixed-function hardware of a neural network accelerator.
    Type: Application
    Filed: January 4, 2022
    Publication date: August 11, 2022
    Inventors: Biswarup Choudhury, Aria Ahmadi, James Imber, Cagatay Dikici, Timothy Atherton
  • Publication number: 20070036461
    Abstract: The invention provides for a method and related computer program for deconvolving a digital image captured by way of a lens arrangement of an image capture device including, in combination with an expression representative of the optical transfer function of the lens arrangement, the step of retrieving metadata associated with the image capture device at the time of image capture and employing retrieved metadata as at least one parameter within the said expression.
    Type: Application
    Filed: October 8, 2004
    Publication date: February 15, 2007
    Inventor: Timothy Atherton