Patents by Inventor August GRESS

August GRESS 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: 11501257
    Abstract: Various methods, systems, apparatuses, and media for implementing a machine learning model execution module are provided. A processor accesses human resource (HR) attributes and profile information data of users from a database. The processor applies hierarchical clustering algorithm to create a machine learning model by clustering users based on accesses to applications that the users have corresponding to the profile information data of the users. All users in one cluster have the most similar accesses to applications. The processor iterates the process of accessing the HR attributes and the profile information data of the users from the database until it is determined that an optimal number of clusters have been created for the machine learning model.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: November 15, 2022
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Laura Schornack, Derek Ferguson, Megan Hawkins, Ryan Evan Porter, Sheev Modi, August Gress, Shreyas Byndoor, Rongzi Wang, Jiamin Zhu, Benjamin Vonderheide
  • Patent number: 11074163
    Abstract: A method for generating a new test for a set of software code is provided. The method includes accessing a plurality of existing unit tests; implementing a machine learning algorithm; determining intended objectives of the set of software code; selecting a subset of the plurality of existing unit tests based on the determined objectives and an output of the machine learning algorithm; and using the selected unit tests to automatically generate the new test.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: July 27, 2021
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Derek Ferguson, Xiangyang Wang, Klaudia Dziewulski, Luisa Garcia O'Toole, Karl T. Blatter, Laura Schornack, Shreyas Byndoor, August Gress, Sheev Modi, Benjamin Vonderheide, Rongzi Wang, Jiamin Zhu
  • Publication number: 20210174305
    Abstract: Various methods, systems, apparatuses, and media for implementing a machine learning model execution module are provided. A processor accesses human resource (HR) attributes and profile information data of users from a database. The processor applies hierarchical clustering algorithm to create a machine learning model by clustering users based on accesses to applications that the users have corresponding to the profile information data of the users. All users in one cluster have the most similar accesses to applications. The processor iterates the process of accessing the HR attributes and the profile information data of the users from the database until it is determined that an optimal number of clusters have been created for the machine learning model.
    Type: Application
    Filed: December 9, 2019
    Publication date: June 10, 2021
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Laura SCHORNACK, Derek FERGUSON, Megan HAWKINS, Ryan Evan PORTER, Sheev MODI, August GRESS, Shreyas BYNDOOR, Rongzi WANG, Jiamin ZHU, Benjamin VONDERHEIDE
  • Publication number: 20210133084
    Abstract: A method for generating a new test for a set of software code is provided. The method includes accessing a plurality of existing unit tests; implementing a machine learning algorithm; determining intended objectives of the set of software code; selecting a subset of the plurality of existing unit tests based on the determined objectives and an output of the machine learning algorithm; and using the selected unit tests to automatically generate the new test.
    Type: Application
    Filed: November 5, 2019
    Publication date: May 6, 2021
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Derek FERGUSON, Xiangyang WANG, Klaudia DZIEWULSKI, Luisa GARCIA O'TOOLE, Karl T. BLATTER, Laura SCHORNACK, Shreyas BYNDOOR, August GRESS, Sheev MODI, Benjamin VONDERHEIDE, Rongzi WANG, Jiamin ZHU