Patents by Inventor James Henry DOOLEY, IV

James Henry DOOLEY, IV 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).

  • COMPUTING SYSTEM FOR TRAINING, DEPLOYING, EXECUTING, AND UPDATING MACHINE LEARNING MODELS
    Publication number: 20230137131
    Abstract: A server computing device generates training data based upon an identifier for a device, a timestamp, and a label received from a developer computing device. The server computing device trains a computer-implemented machine learning (ML) model based upon the training data. The server computing device also generates client configuration data for the ML model that specifies transformations that are to be applied to values in order to generate input values for the ML model. The server computing device deploys ML assets to client computing devices, the ML assets comprising the ML model and the client configuration data. The client computing devices execute the ML model using input values derived via transformations of (local) values produced by the client computing devices and transmit telemetry data to the server computing device. The server computing device updates the ML assets based upon the telemetry data.
    Type: Application
    Filed: December 29, 2022
    Publication date: May 4, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Paul Luo LI, Ho Jeannie CHUNG, Xiaoyu CHAI, Irina Ioana NICULESCU, Minsuk KANG, Brandon H. PADDOCK, Jilong LIAO, Neeraja ABBURU, James Henry DOOLEY, IV, Frederick Douglass CAMPBELL
  • Computing system for training, deploying, executing, and updating machine learning models
    Patent number: 11544625
    Abstract: A server computing device generates training data based upon an identifier for a device, a timestamp, and a label received from a developer computing device. The server computing device trains a computer-implemented machine learning (ML) model based upon the training data. The server computing device also generates client configuration data for the ML model that specifies transformations that are to be applied to values in order to generate input values for the ML model. The server computing device deploys ML assets to client computing devices, the ML assets comprising the ML model and the client configuration data. The client computing devices execute the ML model using input values derived via transformations of (local) values produced by the client computing devices and transmit telemetry data to the server computing device. The server computing device updates the ML assets based upon the telemetry data.
    Type: Grant
    Filed: February 3, 2020
    Date of Patent: January 3, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Paul Luo Li, Ho Jeannie Chung, Xiaoyu Chai, Irina Ioana Niculescu, Minsuk Kang, Brandon H. Paddock, Jilong Liao, Neeraja Abburu, James Henry Dooley, IV, Frederick Douglass Campbell
  • COMPUTING SYSTEM FOR TRAINING, DEPLOYING, EXECUTING, AND UPDATING MACHINE LEARNING MODELS
    Publication number: 20210241167
    Abstract: A server computing device generates training data based upon an identifier for a device, a timestamp, and a label received from a developer computing device. The server computing device trains a computer-implemented machine learning (ML) model based upon the training data. The server computing device also generates client configuration data for the ML model that specifies transformations that are to be applied to values in order to generate input values for the ML model. The server computing device deploys ML assets to client computing devices, the ML assets comprising the ML model and the client configuration data. The client computing devices execute the ML model using input values derived via transformations of (local) values produced by the client computing devices and transmit telemetry data to the server computing device. The server computing device updates the ML assets based upon the telemetry data.
    Type: Application
    Filed: February 3, 2020
    Publication date: August 5, 2021
    Inventors: Paul Luo LI, Ho Jeannie CHUNG, Xiaoyu CHAI, Irina Ioana NICULESCU, Minsuk KANG, Brandon H. PADDOCK, Jilong LIAO, Neeraja ABBURU, James Henry DOOLEY, IV, Frederick Douglass CAMPBELL