Patents by Inventor NIMROD MORAG

NIMROD MORAG 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).

  • Patent number: 11676411
    Abstract: Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
    Type: Grant
    Filed: December 28, 2020
    Date of Patent: June 13, 2023
    Inventors: Amos Simantov, Roy Shilkrot, Nimrod Morag, Rinon Gal
  • Publication number: 20210117665
    Abstract: Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
    Type: Application
    Filed: December 28, 2020
    Publication date: April 22, 2021
    Inventors: AMOS SIMANTOV, ROY SHILKROT, NIMROD MORAG, RINON GAL
  • Patent number: 10936863
    Abstract: Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: March 2, 2021
    Assignee: WAY2VAT LTD.
    Inventors: Amos Simantov, Roy Shilkrot, Nimrod Morag, Rinon Gal
  • Publication number: 20200110930
    Abstract: Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
    Type: Application
    Filed: November 13, 2018
    Publication date: April 9, 2020
    Inventors: AMOS SIMANTOV, ROY SHILKROT, NIMROD MORAG, RINON GAL