Patents by Inventor Santhosh Kolloju

Santhosh Kolloju 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).

  • Generating customized digital documents using artificial intelligence
    Patent number: 11900071
    Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: February 13, 2024
    Assignee: FMR LLC
    Inventors: Arindam Paul, Angela Kontos, Rachna Saxena, Santhosh Kolloju, Arijit Saha, Aaditya Mathur, Pavan Mohan, Mohamed Asif Khan
  • Generating Customized Digital Documents Using Artificial Intelligence
    Publication number: 20210374360
    Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.
    Type: Application
    Filed: May 28, 2021
    Publication date: December 2, 2021
    Inventors: Arindam Paul, Angela Kontos, Rachna Saxena, Santhosh Kolloju, Arijit Saha, Aaditya Mathur, Pavan Mohan, Mohamed Asif Khan