Patents by Inventor Ramprasad Subburaman

Ramprasad Subburaman 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).

  • Data engines based on neural network configurations
    Patent number: 11010657
    Abstract: Various systems, mediums, and methods may involve data engines configured to generate results associated with one or more entities based on neural network configurations. An exemplary system includes a data engine with a training module, a working module, an incremental training module, and a neural network. The data engine may process data associated with the one or more entities and transfer the processed data to an input layer of the neural network. Further, outputs from the input layer may be transferred to a hidden layer of the neural network. Yet further, outputs from the hidden layer may be transferred to an output layer of the neural network. As such, one or more results may be generated from an output layer of the neural network. The one or more results may include an assessment score of the one or more entities.
    Type: Grant
    Filed: April 15, 2016
    Date of Patent: May 18, 2021
    Assignee: PayPal Inc.
    Inventors: Sandeep Bhattacharjee, Ponnivalavan Subramanian, Ramprasad Subburaman, Komal Bansal, Shyam Rangachari Vangipuram, Indrajit Datta, Chandrashekhar Subramanian
  • DATA ENGINES BASED ON NEURAL NETWORK CONFIGURATIONS
    Publication number: 20170300805
    Abstract: Various systems, mediums, and methods may involve data engines configured to generate results associated with one or more entities based on neural network configurations. An exemplary system includes a data engine with a training module, a working module, an incremental training module, and a neural network. The data engine may process data associated with the one or more entities and transfer the processed data to an input layer of the neural network. Further, outputs from the input layer may be transferred to a hidden layer of the neural network. Yet further, outputs from the hidden layer may be transferred to an output layer of the neural network. As such, one or more results may be generated from an output layer of the neural network. The one or more results may include an assessment score of the one or more entities.
    Type: Application
    Filed: April 15, 2016
    Publication date: October 19, 2017
    Inventors: Sandeep Bhattacharjee, Ponnivalavan Subramanian, Ramprasad Subburaman, Komal Bansal, Shyam Rangachari Vangipuram, Indrajit Datta, Chandrashekhar Subramanian