Patents by Inventor Gary Jacob Skerl

Gary Jacob Skerl 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).

  • Machine-learning application proxy for IoT devices including large-scale data collection using dynamic servlets with access control
    Patent number: 11582322
    Abstract: An apparatus and method for providing ML processing for one or more ML applications operating on one or more Internet of Things (IoT) devices includes receiving a ML request from an IoT device. The ML request can be generated by a ML application operating on the IoT device and include input data collected by the first ML application. A ML model to perform ML processing of the input data included in the ML request is identified and provided to an ML core for ML processing along with the input data included in the first ML request. The ML core produces ML processing output data based on ML processing by the ML core of input data included in the ML request using the ML model. The ML processing output data can be transmitted to the IoT device.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: February 14, 2023
    Assignee: AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE. LIMITED
    Inventors: Prashant Katre, Yong Li, Fabian Russo, Darren Tokushige, Craig Arlen Detrick, Gary Jacob Skerl, Xuemin Chen
  • MACHINE-LEARNING APPLICATION PROXY FOR IOT DEVICES INCLUDING LARGE-SCALE DATA COLLECTION USING DYNAMIC SERVLETS WITH ACCESS CONTROL
    Publication number: 20210136170
    Abstract: An apparatus and method for providing ML processing for one or more ML applications operating on one or more Internet of Things (IoT) devices includes receiving a ML request from an IoT device. The ML request can be generated by a ML application operating on the IoT device and include input data collected by the first ML application. A ML model to perform ML processing of the input data included in the ML request is identified and provided to an ML core for ML processing along with the input data included in the first ML request. The ML core produces ML processing output data based on ML processing by the ML core of input data included in the ML request using the ML model. The ML processing output data can be transmitted to the IoT device.
    Type: Application
    Filed: October 31, 2019
    Publication date: May 6, 2021
    Applicant: AVAGO TECNOLOGIES INTERNATIONAL SALES PTE. LIMITED
    Inventors: Prashant Katre, Yong Li, Fabian Russo, Darren Tokushige, Craig Arlen Detrick, Gary Jacob Skerl, Xuemin Chen