Patents by Inventor Matthew BADIN

Matthew BADIN 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).

  • REDUCED COMPUTATIONAL COMPLEXITY FOR FIXED POINT NEURAL NETWORK
    Publication number: 20160328645
    Abstract: A method of reducing computational complexity for a fixed point neural network operating in a system having a limited bit width in a multiplier-accumulator (MAC) includes reducing a number of bit shift operations when computing activations in the fixed point neural network. The method also includes balancing an amount of quantization error and an overflow error when computing activations in the fixed point neural network.
    Type: Application
    Filed: October 13, 2015
    Publication date: November 10, 2016
    Inventors: Dexu LIN, Matthew BADIN, David Edward HOWARD, Daniel Hendricus Franciscus DIJKMAN, Michael Colin TREMAINE, Anthony SARAH
  • CONVOLUTION MATRIX MULTIPLY WITH CALLBACK FOR DEEP TILING FOR DEEP CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20160239706
    Abstract: A method of address translation of images and filters to virtual matrices to perform a convolution by matrix multiplication includes receiving an image and a filter. Each image and filter has a memory address. The method also includes mapping the memory addresses to virtual matrix addresses based on a calculated linearized image and a calculated linearized filter. The method further includes converting data in the virtual matrix to a predefined internal format. The method still further includes convolving the image by matrix multiplication of the data in the predefined internal format based on the virtual matrix addresses.
    Type: Application
    Filed: September 3, 2015
    Publication date: August 18, 2016
    Inventors: Daniel Hendricus Franciscus DIJKMAN, Matthew BADIN