Patents by Inventor Vinayak Ashutosh Agarwal

Vinayak Ashutosh Agarwal 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
  • Software-based image processing using an associated machine learning model
    Patent number: 11488310
    Abstract: Techniques for applying one or more machine learning models to a sub-region less than all of an image scene are described. An example is receiving first sub-region from an image; analyzing the received first sub-region of the image using the indicated least one machine learning model to perform the analyzing of the first sub-region of the scene; and outputting a result of the analyzing.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: November 1, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Aravind Nagarajan, Jason Lenox Copeland, Vinayak Ashutosh Agarwal, Alexei Shlychkov
  • 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
  • Systems, methods, and apparatuses for using shared memory for data between processes
    Patent number: 11275631
    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: March 15, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Alexei Shlychkov, Vinayak Ashutosh Agarwal, Jason Lenox Copeland