Patents by Inventor Anurag M

Anurag M 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).

  • Publication number: 20240194732
    Abstract: Techniques are provided herein to use a chemical mechanical polishing (CMP) process to polish carbon hard mask (CHM) for a variety of useful semiconductor fabrication applications. In one example, a CMP process that uses a silica-based slurry is used to polish CHM formed over gate trenches of different widths, such that the CHM can recess to substantially the same height within the gate trenches of different widths. In another example, CHM may be deposited over groups of fins or a backbone structure and polished using a CMP process with a silica-based slurry to ensure a planar top surface of CHM over the groups of fins or backbone structure.
    Type: Application
    Filed: December 8, 2022
    Publication date: June 13, 2024
    Applicant: Intel Corporation
    Inventors: Matthew J. Prince, Amitesh Shrivastava, Walid M. Hafez, Anurag A. Jain, Gary Ding, Sharath Hegde, Caitlin M. Kilroy, Inki Kim
  • Patent number: 12003493
    Abstract: A method, a device, and a non-transitory storage medium are described in which an pre-authentication service is provided. The service may support a transport layer security handshake and determine authentication based on the initial message. The service may provide for the generation of a message that initiates a handshake between devices in which the message includes an authentication string used for authentication. The service may provide for the generation of another authentication string for comparison. The service may also support authorization of a device. The service may minimize potential malicious attacks and activities between the devices.
    Type: Grant
    Filed: March 10, 2021
    Date of Patent: June 4, 2024
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Brent R. Bilger, Rajesh M. Patel, Shailesh K. Venugopal, Anurag Dave, Michel J. Basmaji
  • Publication number: 20240153201
    Abstract: An electronic device may include a light based image generation system configured to generate images of a 3-dimensional object in a scene. The light based image generation system can include a feature extractor, a triplane decoder, and a volume renderer. The feature extractor can receive lighting information about the scene and a perspective of the object in the scene and generate corresponding triplane features. The triplane decoder can decode diffuse and specular reflection parameters based on the triplane features. The volume renderer can render a set of images based on the diffuse and specular reflection parameters. A super resolution image can be generated from the set of images and compared with ground truth images to fine tune weights, biases, and other machine learning parameters associated with the light based image generation system. The light based image generation system can be conditioned to generate photorealistic images of human faces.
    Type: Application
    Filed: August 17, 2023
    Publication date: May 9, 2024
    Inventors: Anurag Ranjan, Kwang M. Yi, Cuneyt O. Tuzel
  • Publication number: 20240139493
    Abstract: Provided herein is a disinfecting device including a container containing a chlorhexidine-based solution having a chlorhexidine concentration of from 0.2-2.0% wt/vol. Provided also is a medical connector disinfected with the disinfecting device. A method of disinfecting a medical connector using the disinfecting device is also disclosed.
    Type: Application
    Filed: November 2, 2022
    Publication date: May 2, 2024
    Inventors: Kevin M. Ryan, Andrew Woodbridge Van Cott, Richard Bradley Timmers, Shoshana San Solo, Shishir Prasad, Narasinha C. Parasnis, Anurag Mathur, Chang Jiang, Kelsey Ann Graves, Joseph J. Dajcs, Qin Chen
  • Publication number: 20240012369
    Abstract: A method for providing visual contents to user for monitoring processes in an industrial system. The method comprises receiving plurality of variables associated with processes in industrial system. Further, the method comprises determining presence of one or more critical variables based on one or more parameters, using machine learning model. Furthermore, the method comprises identifying one or more first visual contents by associating the one or more critical variables with plurality of visual contents. Each of the plurality of visual contents represents one or more processes from the plurality of processes and corresponding variables. Moreover, the method comprises identifying one or more second visual contents based on availability of behaviour data of user, using the machine learning model. Thereafter, the method comprises providing the one or more first visual contents and the one or more second visual contents to the user.
    Type: Application
    Filed: April 17, 2023
    Publication date: January 11, 2024
    Applicant: ABB Schweiz AG
    Inventors: Josef Bicik, Utkarsh Verma, Anurag M
  • Patent number: 8472527
    Abstract: This invention calculates motion vectors during video encoding for sub-sampled data using a hierarchical search. The motion vector calculation employs a prior original frame as the reference frame rather than a reconstructed frame according to the prior art.
    Type: Grant
    Filed: September 12, 2007
    Date of Patent: June 25, 2013
    Assignee: Texas Instruments Incorporated
    Inventors: Venugopala K. Madumbu, Raghavendra Kudva, Anurag M. Jain, Pramod K. Swami
  • Publication number: 20080063080
    Abstract: This invention calculates motion vectors during video encoding for sub-sampled data using a hierarchical search. The motion vector calculation employs a prior original frame as the reference frame rather than a reconstructed frame according to the prior art.
    Type: Application
    Filed: September 12, 2007
    Publication date: March 13, 2008
    Applicant: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Venugopala K. Madumbu, Raghavendra Kudva, Anurag M. Jain, Pramod K. Swami