Patents by Inventor James GIN

James GIN 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: 12462266
    Abstract: Methods and systems of evaluating content using neural networks and models. Content to be evaluated is input into a system where it is processed using neural networks. A machine learning model then takes the processed content along with information regarding the context of the content and produces a prior score for each piece of content. The prior score is then used as an input to a Bayesian model, along with further information. The Bayesian model outputs predictions relating to the content, along with confidence levels associated with the predictions.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: November 4, 2025
    Assignee: SHUTTERSTOCK.AI INTERNATIONAL LIMITED
    Inventors: James Gin, Chris Loy, Igor Volzhanin
  • Publication number: 20220198486
    Abstract: Methods and systems of evaluating content using neural networks and models. Content to be evaluated is input into a system where it is processed using neural networks. A machine learning model then takes the processed content along with information regarding the context of the content and produces a prior score for each piece of content. The prior score is then used as an input to a Bayesian model, along with further information. The Bayesian model outputs predictions relating to the content, along with confidence levels associated with the predictions.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 23, 2022
    Inventors: James GIN, Chris LOY, Igor VOLZHANIN