Patents by Inventor Ubhay Kumar

Ubhay Kumar 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).

  • REGISTRATION BETWEEN AN INSPECTION IMAGE AND A DESIGN IMAGE
    Publication number: 20250265697
    Abstract: There are provided systems and methods comprising obtaining an inspection image of a semiconductor specimen, and a design image, wherein the design image is informative of design elements, determining data Dpitch informative of a periodic distance between design elements of the design image, which are associated with a shape meeting a similarity criterion, and using the data Dpitch to obtain registration data between the design image and the inspection image.
    Type: Application
    Filed: February 20, 2024
    Publication date: August 21, 2025
    Inventors: Ganesh Kumar MOHANUR RAGHUNATHAN, Ubhay KUMAR, Shani GAT, Tal FRANK, Balaji CHITHUGNANAMOORTHY, Rafael BISTRITZER
  • Interactive training of a machine learning model for tissue segmentation
    Patent number: 11663722
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.
    Type: Grant
    Filed: April 26, 2022
    Date of Patent: May 30, 2023
    Assignee: Applied Materials, Inc.
    Inventors: Sumit Kumar Jha, Aditya Sista, Ganesh Kumar Mohanur Raghunathan, Ubhay Kumar, Kedar Sapre
  • INTERACTIVE TRAINING OF A MACHINE LEARNING MODEL FOR TISSUE SEGMENTATION
    Publication number: 20220261992
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.
    Type: Application
    Filed: April 26, 2022
    Publication date: August 18, 2022
    Inventors: Sumit Kumar Jha, Aditya Sista, Ganesh Kumar Mohanur Raghunathan, Ubhay Kumar, Kedar Sapre
  • Interactive training of a machine learning model for tissue segmentation
    Patent number: 11321839
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.
    Type: Grant
    Filed: September 22, 2020
    Date of Patent: May 3, 2022
    Assignee: Applied Materials, Inc.
    Inventors: Sumit Kumar Jha, Aditya Sista, Ganesh Kumar Mohanur Raghunathan, Ubhay Kumar, Kedar Sapre
  • INTERACTIVE TRAINING OF A MACHINE LEARNING MODEL FOR TISSUE SEGMENTATION
    Publication number: 20210090251
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.
    Type: Application
    Filed: September 22, 2020
    Publication date: March 25, 2021
    Inventors: Sumit Kumar Jha, Aditya Sista, Ganesh Kumar Mohanur Raghunathan, Ubhay Kumar, Kedar Sapre