Patents by Inventor Tong Liang Chew

Tong Liang Chew 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: 11736764
    Abstract: Techniques related to securely providing artificial intelligence inference on protected video content in a vision processing unit are discussed. Such techniques include decrypting encrypted video via a neural network processor of the vision processing unit by providing the neural network processor direct memory access to a security engine of the vision processing unit and applying a machine learning model to the decrypted video content using the neural network processor such that a host and other components of the vision processing unit do not have access to the decrypted video content.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: August 22, 2023
    Assignee: Intel Corporation
    Inventors: Nee Shen Ho, Tong Liang Chew
  • Publication number: 20210210051
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to configure multiple displays. An example apparatus disclosed herein includes memory, and a processor to execute instructions to detect, via a tag reader on a first display, a tag on a second display, the first display and second display communicatively coupled to a computing device, determine, based on a location of the tag reader relative to the first display, a position of the second display relative to the first display, and update an operating system of the computing device based on the determined position.
    Type: Application
    Filed: March 25, 2021
    Publication date: July 8, 2021
    Inventors: Andy B. Wang, Gavin Sung, Nee Shen Ho, Tim Liu, Jason Y. Jiang, Gerry Juan, Tong Liang Chew
  • Publication number: 20200007931
    Abstract: Techniques related to securely providing artificial intelligence inference on protected video content in a vision processing unit are discussed. Such techniques include decrypting encrypted video via a neural network processor of the vision processing unit by providing the neural network processor direct memory access to a security engine of the vision processing unit and applying a machine learning model to the decrypted video content using the neural network processor such that a host and other components of the vision processing unit do not have access to the decrypted video content.
    Type: Application
    Filed: September 13, 2019
    Publication date: January 2, 2020
    Applicant: Intel Corporation
    Inventors: Nee Shen Ho, Tong Liang Chew