Patents by Inventor Chris James Rizzuto

Chris James Rizzuto 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 MODEL REPOSITORY
    Publication number: 20200090038
    Abstract: Embodiments are directed towards a machine learning repository for managing machine learning (ML) model envelopes, ML models, model objects, or the like. Questions and model objects may be received by a ML model answer engine. Machine learning (ML) model envelopes may be received based on the questions. The model objects may be compared to parameter models associated with the ML model envelopes. ML model envelopes may be selected based on the comparison such that the model objects satisfy the parameter models of each of the selected ML model envelopes. ML models included in each selected ML model envelope may be executed to provide score values for the model objects and the score values may be included in a report.
    Type: Application
    Filed: April 26, 2019
    Publication date: March 19, 2020
    Inventors: Ankur Teredesai, James Andrew Marquardt, Chris James Rizzuto, Tyler John Hughes
  • MACHINE LEARNING MODEL REPOSITORY
    Publication number: 20190130262
    Abstract: Embodiments are directed towards a machine learning repository for managing machine learning (ML) model envelopes, ML models, model objects, or the like. Questions and model objects may be received by a ML model answer engine. Machine learning (ML) model envelopes may be received based on the questions. The model objects may be compared to parameter models associated with the ML model envelopes. ML model envelopes may be selected based on the comparison such that the model objects satisfy the parameter models of each of the selected ML model envelopes. ML models included in each selected ML model envelope may be executed to provide score values for the model objects and the score values may be included in a report.
    Type: Application
    Filed: October 31, 2017
    Publication date: May 2, 2019
    Inventors: Ankur Teredesai, James Andrew Marquardt, Chris James Rizzuto, Tyler John Hughes
  • Machine learning model repository
    Patent number: 10275710
    Abstract: Embodiments are directed towards a machine learning repository for managing machine learning (ML) model envelopes, ML models, model objects, or the like. Questions and model objects may be received by a ML model answer engine. Machine learning (ML) model envelopes may be received based on the questions. The model objects may be compared to parameter models associated with the ML model envelopes. ML model envelopes may be selected based on the comparison such that the model objects satisfy the parameter models of each of the selected ML model envelopes. ML models included in each selected ML model envelope may be executed to provide score values for the model objects and the score values may be included in a report.
    Type: Grant
    Filed: October 31, 2017
    Date of Patent: April 30, 2019
    Assignee: KenSci Inc.
    Inventors: Ankur Teredesai, James Andrew Marquardt, Chris James Rizzuto, Tyler John Hughes