Patents by Inventor Tomas Figliolia

Tomas Figliolia 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).

  • Hardware architecture and processing units for exact Bayesian inference with on-line learning and methods for same
    Patent number: 11620556
    Abstract: A reconfigurable computing architecture for Bayesian Online ChangePoint Detection (BOCPD) is provided. In an exemplary embodiment, the architecture may be employed for use in video processing, and more specifically to computing whether a pixel in a video sequence belongs to the background or to an object (foreground). Each pixel may be processed with only information from its intensity and its time history. The computing architecture employs unary fixed point representation for numbers in time, using pulse density or random pulse density modulation—i.e., a stream of zeros and ones, where the mean of that stream represents the encoded value.
    Type: Grant
    Filed: July 2, 2018
    Date of Patent: April 4, 2023
    Inventors: Andreas G. Andreou, Tomas Figliolia
  • Softmax calculation and architecture using a modified coordinate rotation digital computer (CORDIC) approach
    Patent number: 11455144
    Abstract: Apparatus and associated methods relate to providing a modified CORDIC approach and implementing the modified CORDIC approach in SoftMax calculation to reduce usage of hardware resources.
    Type: Grant
    Filed: November 21, 2019
    Date of Patent: September 27, 2022
    Assignee: XILINX, INC.
    Inventor: Tomas Figliolia
  • HARDWARE ARCHITECTURE AND PROCESSING UNITS FOR EXACT BAYESIAN INFERENCE WITH ON-LINE LEARNING AND METHODS FOR SAME
    Publication number: 20200125979
    Abstract: A reconfigurable computing architecture for Bayesian Online ChangePoint Detection (BOCPD) is provided. In an exemplary embodiment, the architecture may be employed for use in video processing, and more specifically to computing whether a pixel in a video sequence belongs to the background or to an object (foreground). Each pixel may be processed with only information from its intensity and its time history. The computing architecture employs unary fixed point representation for numbers in time, using pulse density or random pulse density modulation—i.e., a stream of zeros and ones, where the mean of that stream represents the encoded value.
    Type: Application
    Filed: July 2, 2018
    Publication date: April 23, 2020
    Inventors: Andreas G. Andreou, Tomas Figliolia