Patents by Inventor Faeze Brahman

Faeze Brahman 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).

  • System and method for artificial intelligence story generation allowing content introduction
    Patent number: 11520971
    Abstract: Techniques for artificial intelligence assisted story generation includes training a neural network with first training data that indicates text for one or more portions of a training story and second training data that indicates text for a subset of text for an immediately following portion and third training data that indicates full text for the same portion. First data is retrieved that indicates text for a first one or more portions of a different new story. Second data is also received that indicates text for a cued subset of a next portion of the new story. Third data is generated that indicates full text for the next portion of the new story based on the first data and the second data and the neural network. The third data is concatenated to the first data to produce output data that is stored.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: December 6, 2022
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Snigdha Chaturvedi, Faeze Brahman, Alexandru Petrusca
  • SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE STORY GENERATION ALLOWING CONTENT INTRODUCTION
    Publication number: 20200311341
    Abstract: Techniques for artificial intelligence assisted story generation includes training a neural network with first training data that indicates text for one or more portions of a training story and second training data that indicates text for a subset of text for an immediately following portion and third training data that indicates full text for the same portion. First data is retrieved that indicates text for a first one or more portions of a different new story. Second data is also received that indicates text for a cued subset of a next portion of the new story. Third data is generated that indicates full text for the next portion of the new story based on the first data and the second data and the neural network. The third data is concatenated to the first data to produce output data that is stored.
    Type: Application
    Filed: March 30, 2020
    Publication date: October 1, 2020
    Inventors: Snigdha Chaturvedi, Faeze Brahman, Alexandru Petrusca