Patents by Inventor Tod Frye

Tod Frye 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).

  • Artificial intelligence engine for mixing and enhancing features from one or more trained pre-existing machine-learning models
    Patent number: 11836650
    Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: December 5, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Keen McEwan Browne, Marcos Campos, Megan Adams, Mark Hammond, Matthew Brown, Tod Frye
  • ARTIFICIAL INTELLIGENCE ENGINE FOR MIXING AND ENHANCING FEATURES FROM ONE OR MORE TRAINED PRE-EXISTING MACHINE-LEARNING MODELS
    Publication number: 20210406774
    Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.
    Type: Application
    Filed: September 14, 2021
    Publication date: December 30, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Keen McEwan Browne, Marcos Campos, Megan Adams, Mark Hammond, Matthew Brown, Tod Frye
  • Artificial intelligence engine for mixing and enhancing features from one or more trained pre-existing machine-learning models
    Patent number: 11164109
    Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: November 2, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Keen McEwan Browne, Marcos Campos, Megan Adams, Mark Hammond, Matthew Brown, Tod Frye
  • ARTIFICIAL INTELLIGENCE ENGINE FOR MIXING AND ENHANCING FEATURES FROM ONE OR MORE TRAINED PRE-EXISTING MACHINE-LEARNING MODELS
    Publication number: 20180293517
    Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.
    Type: Application
    Filed: June 14, 2018
    Publication date: October 11, 2018
    Inventors: Keen McEwan Browne, Marcos Campos, Megan Adams, Mark Hammond, Tod Frye