Patents by Inventor Michael Estee

Michael Estee 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).

  • Patent number: 11868896
    Abstract: The AI engine operates with the common API. The common API supports i) any of multiple different training sources and/or prediction sources installed on ii) potentially different sets of customer computing hardware in a plurality of on-premises' environments, where the training sources, prediction sources as well as the set of customer computing hardware may differ amongst the on-premises' environments. The common API via its cooperation with a library of base classes is configured to allow users and third-party developers to interface with the AI-engine modules of the AI engine in an easy and predictable manner through the three or more base classes available from the library. The common API via its cooperation with the library of base classes is configured to be adaptable to the different kinds of training sources, prediction sources, and the different sets of hardware found a particular on-premises environment.
    Type: Grant
    Filed: August 16, 2018
    Date of Patent: January 9, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Matthew Brown, Michael Estee
  • Patent number: 10691843
    Abstract: A method of rendering a machine state, a method of generating and rendering a work-piece cut path, and a CNC machines system are disclosed.
    Type: Grant
    Filed: July 17, 2018
    Date of Patent: June 23, 2020
    Assignee: OMC2 LLC
    Inventors: Michael Estee, Forrest Green, Thomas Cauchois, Sarah Tappon
  • Publication number: 20180357047
    Abstract: The AI engine operates with the common API. The common API supports i) any of multiple different training sources and/or prediction sources installed on ii) potentially different sets of customer computing hardware in a plurality of on-premises' environments, where the training sources, prediction sources as well as the set of customer computing hardware may differ amongst the on-premises' environments. The common API via its cooperation with a library of base classes is configured to allow users and third party developers to interface with the AI engine modules of the AI engine in an easy and predictable manner through the three or more base classes available from the library. The common API via its cooperation with the library of base classes is configured to be adaptable to the different kinds of training sources, prediction sources, and the different sets of hardware found a particular on-premises environment.
    Type: Application
    Filed: August 16, 2018
    Publication date: December 13, 2018
    Applicant: Bonsai AI, Inc.
    Inventors: Matthew Brown, Michael Estee