Patents by Inventor Kyle Kosic

Kyle Kosic 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: 12400055
    Abstract: Estimating the computational cost of simulation using a machine learning model. An example method includes inputting a feature data set into a machine learning model. The feature data set includes model geometry metadata and simulation metadata. The method further includes predicting, using the machine learning model, a computational cost characteristic for a simulation process.
    Type: Grant
    Filed: November 6, 2020
    Date of Patent: August 26, 2025
    Assignee: ANSYS, INC.
    Inventors: Kyle Kosic, Anil Sehgal, Scott McClennan, Joshua Oster-Morris, Ryan Diestelhorst, David M. Freed, Ian Campbell
  • Publication number: 20210133378
    Abstract: Described herein are methods and systems for the estimation of the computational cost of simulation using a machine learning model. An example method includes inputting a feature data set into a machine learning model. The feature data set includes model geometry metadata and simulation metadata. The method further includes predicting, using the machine learning model, a computational cost characteristic for a simulation process.
    Type: Application
    Filed: November 6, 2020
    Publication date: May 6, 2021
    Inventors: Kyle Kosic, Anil Sehgal, Scott McClennan, Joshua Oster-Morris, Ryan Diestelhorst