Patents by Inventor Priyadharshini Devanand

Priyadharshini Devanand 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).

  • Systems and methods for distributed data analytics
    Patent number: 11275970
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Grant
    Filed: May 7, 2021
    Date of Patent: March 15, 2022
    Assignee: Xailient
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • SYSTEMS AND METHODS FOR DISTRIBUTED DATA ANALYTICS
    Publication number: 20210406605
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • SYSTEMS AND METHODS FOR DISTRIBUTED DATA ANALYTICS
    Publication number: 20210406606
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • SYSTEMS AND METHODS FOR DISTRIBUTED DATA ANALYTICS
    Publication number: 20210406607
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • SYSTEMS AND METHODS FOR DISTRIBUTED DATA ANALYTICS
    Publication number: 20210350180
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: May 7, 2021
    Publication date: November 11, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer