Patents by Inventor Jay Pathak

Jay Pathak 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: 20250113453
    Abstract: A jig is provided for a graphics processing unit (GPU) system. The jig includes a front component operable to couple with the GPU system. The front component including a top panel operable to enclose a GPU board of the GPU system, and a plurality of guide tubes extending from the top panel. The guide tubes are operable to be aligned with a plurality of screws to couple the GPU board with a GPU tray. The guide tubes are operable to receive and guide a tool to gain access to the plurality of screws.
    Type: Application
    Filed: September 28, 2023
    Publication date: April 3, 2025
    Inventors: Kevin Enriquez, Jay Pathak
  • Publication number: 20250073833
    Abstract: A jig includes a lifting component and a sliding component. The lifting component is operable to receive a graphics processing unit (GPU) tray. The lifting component includes one or more grooves operable to receive the GPU tray. A sliding component is operable to receive a GPU board when the sliding component is in a reception configuration. The sliding component is operable to transition from the reception configuration to a deployment configuration where the GPU board is received in the GPU tray.
    Type: Application
    Filed: September 6, 2023
    Publication date: March 6, 2025
    Applicant: ZT GROUP INT'L, INC. DBA ZT SYSTEMS
    Inventors: David Liang, Jay Pathak, Armani Villafane
  • Patent number: 11532171
    Abstract: A method and apparatus for determining spatial characteristics of three-dimensional objects is described. In an exemplary embodiment, the device receives a point cloud representation of a three-dimensional surface structure of a plurality of objects. The device may further generate a set of bins to represent the three-dimensional surface structure based on the point cloud representation, each bin corresponding to a spatial occupancy related to the point cloud representation, each bin including a respective type indicating a spatial relationship of the surface structures and a corresponding spatial occupancy of the bin. In addition, the device may encode the set of bins using a convolutional neural network. The device may further determine a classification for the spatial characteristic of the surface structures based on the convolutional neural network with the encoded set of bins.
    Type: Grant
    Filed: October 2, 2020
    Date of Patent: December 20, 2022
    Assignee: ANSYS, INC.
    Inventors: Rishikesh Ranade, Jay Pathak
  • Patent number: 10331812
    Abstract: Systems and methods are provided for determining a confidence level on contact pairs identified through traditional contact detection algorithms for an assembly of bodies. A plurality of testing tolerances are identified. For each of the identified testing tolerances, a determination is made as to whether a distance between any two faces of the bodies in the assembly is less than that identified testing tolerance and when this happens a count of positive detections is increased. A ratio of the count of positive detections to the total number of times the detections are run tolerances is determined (called repeatability of a face pair), where the confidence level is based on the determined repeatability ratio.
    Type: Grant
    Filed: September 4, 2015
    Date of Patent: June 25, 2019
    Assignee: Ansys, Inc.
    Inventors: Jay Pathak, Jogesh Chopra