Patents by Inventor Jon Eric Weissenburger

Jon Eric Weissenburger 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).

  • Recurrent neural networks to predict user requests
    Patent number: 11922286
    Abstract: Embodiments described herein disclose methods and systems for using more than one Recurrent Neural Network (RNN) to analyze a user input and to predict a request being made by the user as the user is inputting the request. In an embodiment, a first RNN and a second RNN can simultaneously or near simultaneously process the user requested information by separating and analyzing the characters and words in the user's request. A third RNN can process the output vectors generated by the first and second RNNs to identify one or more solutions that predict the user's request.
    Type: Grant
    Filed: April 7, 2023
    Date of Patent: March 5, 2024
    Assignee: United Services Automobile Association (USAA)
    Inventors: Brandon Scott Kotara, Gunjan Chandraprakash Vijayvergia, Jon Eric Weissenburger, Ben Hawkins
  • Recurrent neural networks to predict user requests
    Patent number: 11645494
    Abstract: Embodiments described herein disclose methods and systems for using more than one Recurrent Neural Network (RNN) to analyze a user input and to predict a request being made by the user as the user is inputting the request. In an embodiment, a first RNN and a second RNN can simultaneously or near simultaneously process the user requested information by separating and analyzing the characters and words in the user's request. A third RNN can process the output vectors generated by the first and second RNNs to identify one or more solutions that predict the user's request.
    Type: Grant
    Filed: September 15, 2021
    Date of Patent: May 9, 2023
    Assignee: United Services Automobile Association (USAA)
    Inventors: Brandon Scott Kotara, Gunjan Chandraprakash Vijayvergia, Jon Eric Weissenburger, Ben Hawkins
  • Recurrent neural networks to predict user requests
    Patent number: 11144813
    Abstract: Embodiments described herein disclose methods and systems for using more than one Recurrent Neural Network (RNN) to analyze a user input and to predict a request being made by the user as the user is inputting the request. In an embodiment, a first RNN and a second RNN can simultaneously or near simultaneously process the user requested information by separating and analyzing the characters and words in the user's request. A third RNN can process the output vectors generated by the first and second RNNs to identify one or more solutions that predict the user's request.
    Type: Grant
    Filed: March 2, 2018
    Date of Patent: October 12, 2021
    Assignee: United Services Automobile Association (USAA)
    Inventors: Brandon Scott Kotara, Gunjan Chandraprakash Vijayvergia, Jon Eric Weissenburger, Ben Hawkins