Patents by Inventor Naga Krishna Teja Komma

Naga Krishna Teja Komma 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).

  • Determining data relevance and labeling, model updating, and deployment
    Patent number: 11768914
    Abstract: Techniques for training a machine learning model based on captured images are described. A method described include filtering a first set of collected images using one or more machine learning models; labeling the first set of filtered, collected images using a data labeling service using a service of the provider network; training a machine learning model from a machine learning algorithm using the first set of filtered, collected images using a service of the provider network; and causing deployment of the trained machine learning model onto a device.
    Type: Grant
    Filed: April 1, 2022
    Date of Patent: September 26, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Vinayak Ashutosh Agarwal, Jason Lenox Copeland, Matthew James Wood, Long Gao, Ricardo Elizondo Costa, Jiajun Sun, Naga Krishna Teja Komma
  • Systems, methods and apparatuses for running multiple machine learning models on an edge device
    Patent number: 11403154
    Abstract: Techniques for implementing an on-demand serverless compute system that uses shared memory to share data between on-demand serverless compute applications are described.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: August 2, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Vinayak Ashutosh Agarwal, Jason Lenox Copeland, Alexei Shlychkov, Naga Krishna Teja Komma
  • Systems, methods, and apparatuses for determining data relevance and labeling, model updating, and deployment
    Patent number: 11295165
    Abstract: Techniques for training a machine learning model based on captured images are described. A method described include filtering a first set of collected images using one or more machine learning models; labeling the first set of filtered, collected images using a data labeling service using a service of the provider network; training a machine learning model from a machine learning algorithm using the first set of filtered, collected images using a service of the provider network; and causing deployment of the trained machine learning model onto a device.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: April 5, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Vinayak Ashutosh Agarwal, Jason Lenox Copeland, Matthew James Wood, Long Gao, Ricardo Elizondo Costa, Jiajun Sun, Naga Krishna Teja Komma