Patents by Inventor Yahav Shadmiy

Yahav Shadmiy 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).

  • VARIABLE PRECISION AND MIX TYPE REPRESENTATION OF MULTIPLE LAYERS IN A NETWORK
    Publication number: 20180314931
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Applicant: Intel Corporation
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Amit Bleiweiss, Gal Leibovich, Jeremie Dreyfuss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag
  • GRAPHICS PROCESSING UNIT GENERATIVE ADVERSARIAL NETWORK
    Publication number: 20180314932
    Abstract: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to generate synthetic data for a generative adversarial network (GAN) using the plurality of execution units. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Applicant: Intel Corporation
    Inventors: Tomer Schwartz, Ehud Cohen, Uzi Sarel, Amitai Armon, Yaniv Fais, Lev Faivishevsky, Amit Bleiweiss, Yahav Shadmiy, Jacob Subag
  • LOW RANK MATRIX COMPRESSION
    Publication number: 20180293758
    Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: April 8, 2017
    Publication date: October 11, 2018
    Applicant: Intel Corporation
    Inventors: Tomer Bar-On, Jacob Subag, Yaniv Fais, Jeremie Dreyfuss, Gal Novik, Gal Leibovich, Tomer Schwartz, Ehud Cohen, Lev Faivishevsky, Uzi Sarel, Amitai Armon, Yahav Shadmiy
  • SUB-GRAPH IN FREQUENCY DOMAIN AND DYNAMIC SELECTION OF CONVOLUTION IMPLEMENTATION ON A GPU
    Publication number: 20180293777
    Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: April 8, 2017
    Publication date: October 11, 2018
    Applicant: Intel Corporation
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Itamar Ben-Ari, Amit Bleiweiss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Michael Behar, Guy Jacob, Gal Leibovich, Jeremie Dreyfuss