Patents by Inventor Gregory Filla

Gregory Filla 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).

  • Code generation for Auto-AI
    Patent number: 11861469
    Abstract: An embodiment of the invention may include a method, computer program product, and system for creating a data analysis tool. The method may include a computing device that generates an AI pipeline based on an input dataset, wherein the AI pipeline is generated using an Automated Machine Learning program. The method may include converting the AI pipeline to a non-native format of the Automated Machine Learning program. This may enable the AI pipeline to be used outside of the Automated Machine Learning program, thereby increasing the usefulness of the created program by not tying it to the Automated Machine Learning program. Additionally, this may increase the efficiency of running the AI pipeline by eliminating unnecessary computations performed by the Automated Machine Learning program.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: January 2, 2024
    Assignee: International Business Machines Corporation
    Inventors: Peter Daniel Kirchner, Gregory Bramble, Horst Cornelius Samulowitz, Dakuo Wang, Arunima Chaudhary, Gregory Filla
  • CODE GENERATION FOR AUTO-AI
    Publication number: 20220004914
    Abstract: An embodiment of the invention may include a method, computer program product, and system for creating a data analysis tool. The method may include a computing device that generates an AI pipeline based on an input dataset, wherein the AI pipeline is generated using an Automated Machine Learning program. The method may include converting the AI pipeline to a non-native format of the Automated Machine Learning program. This may enable the AI pipeline to be used outside of the Automated Machine Learning program, thereby increasing the usefulness of the created program by not tying it to the Automated Machine Learning program. Additionally, this may increase the efficiency of running the AI pipeline by eliminating unnecessary computations performed by the Automated Machine Learning program.
    Type: Application
    Filed: July 2, 2020
    Publication date: January 6, 2022
    Inventors: Peter Daniel Kirchner, Gregory Bramble, Horst Cornelius Samulowitz, Dakuo Wang, Arunima Chaudhary, Gregory Filla