Patents by Inventor IAN YAN

IAN YAN 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).

  • Systems and methods for generating remedy recommendations for power and performance issues within semiconductor software and hardware
    Patent number: 11994939
    Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.
    Type: Grant
    Filed: September 30, 2022
    Date of Patent: May 28, 2024
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Mohammad Hamed Mousazadeh, Arpit Patel, Gabor Sines, Omer Irshad, Philippe John Louis Yu, Zongjie Yan, Ian Charles Colbert
  • SYSTEMS AND METHODS FOR GENERATING REMEDY RECOMMENDATIONS FOR POWER AND PERFORMANCE ISSUES WITHIN SEMICONDUCTOR SOFTWARE AND HARDWARE
    Publication number: 20240111620
    Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.
    Type: Application
    Filed: September 30, 2022
    Publication date: April 4, 2024
    Applicants: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Mohammad Hamed Mousazadeh, Arpit Patel, Gabor Sines, Omer Irshad, Phillippe John Louis Yu, Zongjie Yan, Ian Charles Colbert
  • ELECTRONIC DEVICE
    Publication number: 20240096548
    Abstract: An electronic device is disclosed. The electronic device can include a core having a top core section and a bottom core section, a laminate substrate, where the laminate substrate having a void through which the top and bottom core sections are connected, and the laminate substrate having conductive traces. The electronic device can further include a base having a first side including a recess and a second side opposite the first site, at least one of the core and the laminate substrate disposed in the recess of the base, where the base has one or more terminals on the second side to electrically connect to an external device.
    Type: Application
    Filed: September 20, 2022
    Publication date: March 21, 2024
    Inventors: IAN YAN, WINDY HUANG, LARRY GAO, BOHR WAN
  • Substrate with Graphene-Based Layer
    Publication number: 20190022975
    Abstract: The present invention is directed to a stretchable graphene-based barrier layer on an elastomeric substrate.
    Type: Application
    Filed: July 24, 2018
    Publication date: January 24, 2019
    Inventors: Robert Howard Hurt, Ian Yan Wong, Po-Yen Chen