Patents by Inventor Mariano Fernandez Garrido

Mariano Fernandez Garrido 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 PUBLISHING SYSTEMS AND METHODS
    Publication number: 20230072862
    Abstract: A machine learning (ML) model publisher can, responsive to an indication that a ML model is ready for publication, generate a publication request form or page on a user device. The ML model publisher can be invoked from within a ML modeling application. Responsive to an instruction received through the publication request form or page, the ML model publisher can access a data structure in memory used in training the ML model and populate the publication request form or page with attributes required by the ML model to run. Responsive to activation of a single-click publication actuator, the ML model publisher can publish the ML model directly from the ML modeling application to a target computing system by providing, to the target computing system, a path to a repository location where the ML model is stored and information on the attributes required by the ML model to run.
    Type: Application
    Filed: October 31, 2022
    Publication date: March 9, 2023
    Inventors: Isidre Royo Bonnin, Mariano Fernandez Garrido
  • Machine learning model publishing systems and methods
    Patent number: 11514356
    Abstract: A machine learning (ML) model publisher can, responsive to an indication that a ML model is ready for publication, generate a publication request form or page on a user device. The ML model publisher can be invoked from within a ML modeling application. Responsive to an instruction received through the publication request form or page, the ML model publisher can access a data structure in memory used in training the ML model and populate the publication request form or page with attributes required by the ML model to run. Responsive to activation of a single-click publication actuator, the ML model publisher can publish the ML model directly from the ML modeling application to a target computing system by providing, to the target computing system, a path to a repository location where the ML model is stored and information on the attributes required by the ML model to run.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: November 29, 2022
    Assignee: OPEN TEXT SA ULC
    Inventors: Isidre Royo Bonnin, Mariano Fernandez Garrido
  • MACHINE LEARNING MODEL PUBLISHING SYSTEMS AND METHODS
    Publication number: 20200242508
    Abstract: A machine learning (ML) model publisher can, responsive to an indication that a ML model is ready for publication, generate a publication request form or page on a user device. The ML model publisher can be invoked from within a ML modeling application. Responsive to an instruction received through the publication request form or page, the ML model publisher can access a data structure in memory used in training the ML model and populate the publication request form or page with attributes required by the ML model to run. Responsive to activation of a single-click publication actuator, the ML model publisher can publish the ML model directly from the ML modeling application to a target computing system by providing, to the target computing system, a path to a repository location where the ML model is stored and information on the attributes required by the ML model to run.
    Type: Application
    Filed: January 30, 2019
    Publication date: July 30, 2020
    Inventors: Isidre Royo Bonnin, Mariano Fernandez Garrido