Patents by Inventor Antonios Tsichlas

Antonios Tsichlas 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).

  • Activation Functions for Deep Neural Networks
    Publication number: 20230041966
    Abstract: Hardware for implementing a Deep Neural Network (DNN) for performing an activation function includes, at an activation module for performing an activation function, a programmable lookup table for storing lookup data approximating the activation function over a first range of input values to the activation module, the method comprising: providing calibration data to a representation of the hardware; monitoring an input to an activation module of the representation of the hardware so as to determine a range of input values to the activation module; generating lookup data for the lookup table representing the activation function over the determined range of input values; and loading the generated lookup data into the lookup table of the hardware, thereby configuring the activation module of the hardware for performing the activation function over the determined range of input values.
    Type: Application
    Filed: October 7, 2022
    Publication date: February 9, 2023
    Inventors: Christopher Martin, Antonios Tsichlas, Yuan Li
  • Method and apparatus for implementing a deep neural network performing an activation function
    Patent number: 11494622
    Abstract: A method for configuring hardware for implementing a Deep Neural Network (DNN) for performing an activation function, the hardware comprising, at an activation module for performing an activation function, a programmable lookup table for storing lookup data approximating the activation function over a first range of input values to the activation module, the method comprising: providing calibration data to a representation of the hardware; monitoring an input to an activation module of the representation of the hardware so as to determine a range of input values to the activation module; generating lookup data for the lookup table representing the activation function over the determined range of input values; and loading the generated lookup data into the lookup table of the hardware, thereby configuring the activation module of the hardware for performing the activation function over the determined range of input values.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: November 8, 2022
    Assignee: Imagination Technologies Limited
    Inventors: Yuan Li, Antonios Tsichlas, Christopher Martin
  • Activation Functions for Deep Neural Networks
    Publication number: 20190147323
    Abstract: A method for configuring hardware for implementing a Deep Neural Network (DNN) for performing an activation function, the hardware comprising, at an activation module for performing an activation function, a programmable lookup table for storing lookup data approximating the activation function over a first range of input values to the activation module, the method comprising: providing calibration data to a representation of the hardware; monitoring an input to an activation module of the representation of the hardware so as to determine a range of input values to the activation module; generating lookup data for the lookup table representing the activation function over the determined range of input values; and loading the generated lookup data into the lookup table of the hardware, thereby configuring the activation module of the hardware for performing the activation function over the determined range of input values.
    Type: Application
    Filed: November 5, 2018
    Publication date: May 16, 2019
    Inventors: Yuan Li, Antonios Tsichlas, Christopher Martin