Patents by Inventor Gao Pan

Gao Pan 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 detecting anomalies utilizing a plurality of neural network models
    Patent number: 11436473
    Abstract: API gateway log data of HTTP response information is collected and aggregated for each API service. The log data is streamed and formed into a feature vector. A model training module trains a neural network model based on the feature vector and model metadata. The model training module also retrains the neural network model based on a new feature vector. Neural network model artifacts are stored and used to detect anomalous patterns and generate alerts of the detection.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: September 6, 2022
    Assignee: Intuit Inc.
    Inventors: Miroslav S. Boussarov, Jason Webb, Laurent Benchimol, Gao Pan
  • SYSTEM AND METHOD FOR DETECTING ANOMALIES UTILIZING A PLURALITY OF NEURAL NETWORK MODELS
    Publication number: 20210073618
    Abstract: API gateway log data of HTTP response information is collected and aggregated for each API service. The log data is streamed and formed into a feature vector. A model training module trains a neural network model based on the feature vector and model metadata. The model training module also retrains the neural network model based on a new feature vector. Neural network model artifacts are stored and used to detect anomalous patterns and generate alerts of the detection.
    Type: Application
    Filed: September 11, 2019
    Publication date: March 11, 2021
    Applicant: Intuit Inc.
    Inventors: Miroslav S. Boussarov, Jason Webb, Laurent Benchimol, Gao Pan