Patents by Inventor Shantanu DEV

Shantanu DEV 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).

  • Publication number: 20240012841
    Abstract: An exemplary system and method are provided for monitoring concept drift in a trained model, such as a chatbot. The system is configured to perform a method including receiving a first dataset representing model operations executed by the trained model; applying a data processing operation to the first dataset to determine a first result data of the first dataset; determining, based on the first result data, a difference between the first result data and a second result data; determining, based on the difference, whether concept drift has occurred; and in accordance with a determination that concept drift has occurred, transmitting an instruction to update training of the trained model. The exemplary system may be implemented as a drift detection system in communication with the trained model.
    Type: Application
    Filed: July 7, 2023
    Publication date: January 11, 2024
    Applicant: PwC Product Sales LLC
    Inventors: Joseph David VOYLES, Siddhesh Shivaji ZANJ, Prasang GUPTA, Vishakha BANSAL, Shantanu DEV
  • Publication number: 20210098134
    Abstract: Techniques for pharmacovigilence adverse-event processing include receiving data comprising medical narrative text and generating, based on the received data, using a recurrent neural network encoder, a fixed-length context vector representation of the medical narrative text. The fixed-length context vector representation may then be queried, using a recurrent neural network decoder, to generate one or more hidden states. A first set of the one or more hidden states may be processed to generate an assessment of seriousness represented by the medical narrative text, and a second set of the one or more hidden states may be processed to generate a plurality of respective assessments of whether respective individual words of the medical narrative text correspond to one or more adverse events.
    Type: Application
    Filed: September 25, 2020
    Publication date: April 1, 2021
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Shinan ZHANG, Shantanu DEV, Joseph VOYLES, Anand S. RAO, Matthew RICH, Siddhartha BHATTACHARYA