Patents by Inventor Marcel Bernard Körner

Marcel Bernard Körner 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).

  • Evaluation of product-related data structures using machine-learning techniques
    Patent number: 11615366
    Abstract: Artificial intelligence (AI)-based techniques are provided that predict a quality score for a product-related data structure associated with one or more products. One method comprises obtaining data for a given product-related data structure; evaluating a plurality of first features related to a customer account associated with the given product-related data structure using the obtained data; evaluating a plurality of second features related to the given product-related data structure using the obtained data; processing at least some of the first features and the second features using at least one model that provides a predicted quality score for the given product-related data structure; and applying one or more thresholds to the predicted quality score to determine an acceptance status related to the given product-related data structure. A weighting of the first features and the second features can be learned during a training phase.
    Type: Grant
    Filed: April 15, 2020
    Date of Patent: March 28, 2023
    Assignee: EMC IP Holding Company LLC
    Inventors: Amihai Savir, Arthur Wensing, Noga Gershon, Marcel Bernard Körner, Ivan Mlynek, Jorge Luis Perez, Michael Rupert James Thatcher, Dhev George Kollannur, Omer Sagi
  • Artificial Intelligence Techniques for Predicting Quality Scores for Product Orders
    Publication number: 20210326795
    Abstract: Artificial intelligence (AI)-based techniques are provided that predict a quality score for a product-related data structure associated with one or more products. One method comprises obtaining data for a given product-related data structure; evaluating a plurality of first features related to a customer account associated with the given product-related data structure using the obtained data; evaluating a plurality of second features related to the given product-related data structure using the obtained data; processing at least some of the first features and the second features using at least one model that provides a predicted quality score for the given product-related data structure; and applying one or more thresholds to the predicted quality score to determine an acceptance status related to the given product-related data structure. A weighting of the first features and the second features can be learned during a training phase.
    Type: Application
    Filed: April 15, 2020
    Publication date: October 21, 2021
    Inventors: Amihai Savir, Arthur Wensing, Noga Gershon, Marcel Bernard Körner, Ivan Mlynek, Jorge Luis Perez, Michael Rupert James Thatcher, Dhev George Kollannur, Omer Sagi