Patents by Inventor Scott Allen Young

Scott Allen Young 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).

  • Data augmentation for convolutional neural network-based defect inspection
    Patent number: 10402688
    Abstract: Systems and methods for providing an augmented input data to a convolutional neural network (CNN) are disclosed. Wafer images are received at a processor. The wafer image is divided into a plurality of references images each associated with a die in the wafer image. Test images are received. A plurality of difference images are created by differences the test images with the reference images. The reference images and difference images are assembled into the augmented input data for the CNN and provided to the CNN.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: September 3, 2019
    Assignee: KLA-Tencor Corporation
    Inventors: Bjorn Brauer, Vijay Ramachandran, Richard Wallingford, Scott Allen Young
  • Data Augmentation for Convolutional Neural Network-Based Defect Inspection
    Publication number: 20180157933
    Abstract: Systems and methods for providing an augmented input data to a convolutional neural network (CNN) are disclosed. Wafer images are received at a processor. The wafer image is divided into a plurality of references images each associated with a die in the wafer image. Test images are received. A plurality of difference images are created by differences the test images with the reference images. The reference images and difference images are assembled into the augmented input data for the CNN and provided to the CNN.
    Type: Application
    Filed: September 29, 2017
    Publication date: June 7, 2018
    Inventors: Bjorn Brauer, Vijay Ramachandran, Richard Wallingford, Scott Allen Young