Patents by Inventor Jim Henry Wiggers

Jim Henry Wiggers 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).

  • UTILIZING MACHINE LEARNING TO PREDICT SUCCESS OF TROUBLESHOOTING ACTIONS FOR REPAIRING ASSETS
    Publication number: 20210263792
    Abstract: An apparatus includes at least one processing device configured to obtain information regarding a given asset to be repaired, to generate a recommended troubleshooting action to be performed on the given asset, and to provide the recommended troubleshooting action and the obtained information regarding the given asset as input to an encoder of a machine learning model implementing an attention mechanism. The at least one processing device is also configured to receive, from a decoder of the machine learning model, a predicted success of the recommended troubleshooting action. The at least one processing device is further configured to determine whether the predicted success of the recommended troubleshooting action meets designated criteria, to perform the recommended troubleshooting action responsive to the predicted success meeting the designated criteria, and, to modify the recommended troubleshooting action responsive to the predicted success not meeting the designated criteria.
    Type: Application
    Filed: February 26, 2020
    Publication date: August 26, 2021
    Inventors: Jeffrey Scott Vah, Ravi Shukla, Aaron Sanchez, Jim Henry Wiggers
  • Utilizing machine learning to predict success of troubleshooting actions for repairing assets
    Patent number: 11099928
    Abstract: An apparatus includes at least one processing device configured to obtain information regarding a given asset to be repaired, to generate a recommended troubleshooting action to be performed on the given asset, and to provide the recommended troubleshooting action and the obtained information regarding the given asset as input to an encoder of a machine learning model implementing an attention mechanism. The at least one processing device is also configured to receive, from a decoder of the machine learning model, a predicted success of the recommended troubleshooting action. The at least one processing device is further configured to determine whether the predicted success of the recommended troubleshooting action meets designated criteria, to perform the recommended troubleshooting action responsive to the predicted success meeting the designated criteria, and, to modify the recommended troubleshooting action responsive to the predicted success not meeting the designated criteria.
    Type: Grant
    Filed: February 26, 2020
    Date of Patent: August 24, 2021
    Assignee: EMC IP Holding Company LLC
    Inventors: Jeffrey Scott Vah, Ravi Shukla, Aaron Sanchez, Jim Henry Wiggers