Patents by Inventor Gaodan Fang

Gaodan Fang 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).

  • CONFIGURABLE AND SCALABLE MACHINE LEARNING MODEL LIFECYCLE OPERATOR
    Publication number: 20230196178
    Abstract: A method of using a computing device to manage a lifecycle of machine learning models includes receiving, by a computing device, multiple pre-defined machine learning lifecycle tasks. The computing device manages executing a management-layer software layer for the multiple pre-defined machine learning lifecycle tasks. The computing device further generates and updates a machine learning pipeline using the management-layer software layer.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 22, 2023
    Inventors: Benjamin Herta, Darrell Christopher Reimer, EVELYN DUESTERWALD, Gaodan Fang, Punleuk Oum, Debashish Saha, Archit Verma
  • Detection of failure conditions and restoration of deployed models in a computing environment
    Patent number: 11294759
    Abstract: A computer-implemented method includes obtaining data associated with execution of a model deployed in a computing environment. At least a portion of the obtained data is analyzed to detect one or more failure conditions associated with the model. One or more restoration operations are executed to generate one or more restoration results to address one or more detected failure conditions. At least a portion of the one or more restoration results is sent to the computing environment in which the model is deployed.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: April 5, 2022
    Assignee: International Business Machines Corporation
    Inventors: Evelyn Duesterwald, Punleuk Oum, Gaodan Fang, Debashish Saha, Anupama Murthi, Waldemar Hummer
  • DETECTION OF FAILURE CONDITIONS AND RESTORATION OF DEPLOYED MODELS IN A COMPUTING ENVIRONMENT
    Publication number: 20210173736
    Abstract: A computer-implemented method includes obtaining data associated with execution of a model deployed in a computing environment. At least a portion of the obtained data are analyzed to detect one or more failure conditions associated with the model. One or more restoration operations are executed to generate one or more restoration results to address one or more detected failure conditions. At least a portion of the one or more restoration results is sent to the computing environment in which the model is deployed.
    Type: Application
    Filed: December 5, 2019
    Publication date: June 10, 2021
    Inventors: Evelyn Duesterwald, Punleuk Oum, Gaodan Fang, Debashish Saha, Anupama Murthi, Waldemar Hummer