Patents by Inventor Paul Reader

Paul Reader 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 PLATFORM
    Publication number: 20250117701
    Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.
    Type: Application
    Filed: July 15, 2024
    Publication date: April 10, 2025
    Inventors: Stephen Roberts, Mike Osborne, Brian Mullins, Paul Reader, Nathaniel Korda, Rob Williams, Stanley Speel
  • Machine learning platform
    Patent number: 12067463
    Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.
    Type: Grant
    Filed: February 18, 2020
    Date of Patent: August 20, 2024
    Assignee: Mind Foundry Ltd
    Inventors: Stephen Roberts, Mike Osborne, Brian Mullins, Paul Reader, Nathan Korda, Rob Williams, Stanley Speel
  • MACHINE LEARNING PLATFORM
    Publication number: 20210256310
    Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.
    Type: Application
    Filed: February 18, 2020
    Publication date: August 19, 2021
    Inventors: Stephen Roberts, Mike Osborne, Brian Mullins, Paul Reader, Nathan Korda, Rob Williams, Stanley Speel