Patents by Inventor Shoumik Majumdar

Shoumik Majumdar 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).

  • TRANSFORMER BOOSTED CAUSALITY RESPECTING PHYSICS INFORMED NEURAL NETWORKS
    Publication number: 20230351159
    Abstract: A method and system for augmenting a neural network is provided herein. The method comprises connecting an input layer to a pre-input layer. The method further comprises joining a hidden layer to the input layer. The method comprises linking an output layer to the hidden layer. The method further comprises connecting a layer for computing physics equations to the output layer. The neural network system further comprising, an input layer, a hidden layer connected to the input layer and an output layer joined to the hidden layer. The system further comprising a layer for computing physics equations connected to the output layer and a pre-input layer attached to the input layer.
    Type: Application
    Filed: July 11, 2023
    Publication date: November 2, 2023
    Applicant: Quantiphi, Inc
    Inventors: Dagnachew Birru, Sofia P Moschou, Shoumik Majumdar, Rishi Yash Parekh, Dhruv Mathew