Patents by Inventor James J. Meyer

James J. Meyer 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).

  • Patent number: 12045720
    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: September 13, 2021
    Date of Patent: July 23, 2024
    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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Patent number: 6210263
    Abstract: An apparatus for coring out or dissecting an anal sphincter and mobilizing a rectum of an animal includes a probe attached to a first side of a support member and at least one knife blade attached to the support member a fixed distance from the probe. The distance from the surface of the probe to the knife blade is greater than a thickness of a rectal wall.
    Type: Grant
    Filed: March 3, 2000
    Date of Patent: April 3, 2001
    Inventor: James J. Meyer