Patents by Inventor Roman GORB

Roman GORB 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).

  • Method and system for validating media content
    Patent number: 12450270
    Abstract: A method and a server for factually validating a content of a given snippet of a plurality of snippets are provided. The method comprises: identifying, within the plurality of snippets, at least one other snippet for the given snippet, the at least one other snippet providing context to the given snippet; generating, for the given snippet, a respective target vector; generating, for the at least one other snippet, a respective context vector; feeding both the respective target vector and the respective context vector to a Natural Language Processing (NLP) model to determine a probability value indicative of whether a content of the at least one other snippet confirms factual accuracy of that of the given snippet, in response to the probability value being equal to or greater than a threshold probability value, determining that the content of the given snippet is factually accurate.
    Type: Grant
    Filed: July 5, 2023
    Date of Patent: October 21, 2025
    Assignee: Y.E. Hub Armenia LLC
    Inventors: Roman Gorb, Sergey Yudin, Alexey Zobnin, Pavel Oreshin
  • METHOD AND SYSTEM FOR VALIDATING MEDIA CONTENT
    Publication number: 20240012838
    Abstract: A method and a server for factually validating a content of a given snippet of a plurality of snippets are provided. The method comprises: identifying, within the plurality of snippets, at least one other snippet for the given snippet, the at least one other snippet providing context to the given snippet; generating, for the given snippet, a respective target vector; generating, for the at least one other snippet, a respective context vector; feeding both the respective target vector and the respective context vector to a Natural Language Processing (NLP) model to determine a probability value indicative of whether a content of the at least one other snippet confirms factual accuracy of that of the given snippet, in response to the probability value being equal to or greater than a threshold probability value, determining that the content of the given snippet is factually accurate.
    Type: Application
    Filed: July 5, 2023
    Publication date: January 11, 2024
    Inventors: Roman GORB, Sergey YUDIN, Alexey ZOBNIN, Pavel ORESHIN