Patents by Inventor Fay Wang

Fay Wang 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).

  • Techniques for correcting prediction errors in neural networks
    Patent number: 12682212
    Abstract: One or more arithmetic logic circuits to at least partially cause a neural network to be trained by replacing one or more activations generated by one or more layers of the neural network with ground truth data depending on how accurate the one or more activations are predicted to be. The one or more arithmetic logic circuits may be implemented as part of a processor or computer system.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: July 14, 2026
    Assignee: NVIDIA Corporation
    Inventors: Prakash Gurumurthy, Mu-Heng Yang, Yan Breek, Avinash Vem, Fay Wang
  • AUTOMATIC ERROR PREDICTION IN DATA CENTERS
    Publication number: 20240394130
    Abstract: Apparatuses, systems, and techniques to predict a probability of an error or anomay in processing units, such as those of a data center. In at least one embodiment, the probability of an error occuring in a proccessing unit is identified using multiple trained machine learning models, in which the trained machine learning models each outputs, for example, the probability of an error occuring within a different predetermined time period.
    Type: Application
    Filed: August 5, 2024
    Publication date: November 28, 2024
    Inventors: Tamar Viclizki, Fay Wang, Divyansh Jain, Avighan Majumder, Vadim Gechman, Vibhor Agrawal
  • Automatic error prediction in data centers
    Patent number: 12055995
    Abstract: Apparatuses, systems, and techniques to predict a probability of an error or anomaly in processing units, such as those of a data center. In at least one embodiment, the probability of an error occurring in a processing unit is identified using multiple trained machine learning models, in which the trained machine learning models each outputs, for example, the probability of an error occurring within a different predetermined time period.
    Type: Grant
    Filed: February 28, 2022
    Date of Patent: August 6, 2024
    Assignee: Nvidia Corporation
    Inventors: Tamar Viclizki, Fay Wang, Divyansh Jain, Avighan Majumder, Vadim Gechman, Vibhor Agrawal
  • AUTOMATIC ERROR PREDICTION IN DATA CENTERS
    Publication number: 20230297453
    Abstract: Apparatuses, systems, and techniques to predict a probability of an error or anomay in processing units, such as those of a data center. In at least one embodiment, the probability of an error occuring in a proccessing unit is identified using multiple trained machine learning models, in which the trained machine learning models each outputs, for example, the probability of an error occuring within a different predetermined time period.
    Type: Application
    Filed: February 28, 2022
    Publication date: September 21, 2023
    Inventors: Tamar Viclizki, Fay Wang, Divyansh Jain, Avighan Majumder, Vadim Gechman, Vibhor Agrawal