Patents by Inventor Sandeep Thakur

Sandeep Thakur 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).

  • Patent number: 11983135
    Abstract: Embodiments herein relate to systems, apparatuses, or processes for improving off-package edge bandwidth by overlapping electrical and optical serialization/deserialization (SERDES) interfaces on an edge of the package. In other implementations, off-package bandwidth for a particular edge of a package may use both an optical fanout and an electrical fanout on the same edge of the package. In embodiments, the optical fanout may use a top surface or side edge of a die and the electrical fanout may use the bottom side edge of the die. Other embodiments may be described and/or claimed.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: May 14, 2024
    Assignee: Intel Corporation
    Inventors: Dheeraj Subbareddy, Ankireddy Nalamalpu, Anshuman Thakur, Md Altaf Hossain, Mahesh Kumashikar, Kemal Aygün, Casey Thielen, Daniel Klowden, Sandeep B. Sane
  • Publication number: 20230397606
    Abstract: The present invention relates to a water-soluble concentrate composition comprising a phenoxy acid herbicide or the salts thereof and an in-built adjuvant composition. The water-soluble concentrate composition has favorable low temperature stability and wetting performance as well as favorable bioefficacy.
    Type: Application
    Filed: October 16, 2020
    Publication date: December 14, 2023
    Applicant: RHODIA OPERATIONS
    Inventors: Marc Balastre, Sandeep Thakur, Krishna Vasu, Ritu Ahuja
  • Publication number: 20220116408
    Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor circuit and a memory circuit; first means for accessing a machine learning engine; second means for accessing a user interface; and instructions encoded within the memory to instruct the processor to: load into the machine learning engine via the first means an object prevalence model, including an enterprise-specific prevalence model; provide to the machine learning engine an object set from the enterprise; identify an enterprise-novel object from the object set; solicit and receive via the second means user-sourced feedback for the enterprise-novel object; and act according to the user-sourced feedback.
    Type: Application
    Filed: October 9, 2020
    Publication date: April 14, 2022
    Applicant: McAfee, LLC
    Inventors: Sorcha Bairbre Healy, Gerard Donal Murphy, Steven Grobman, Niall Fitzgerald, Jillian Anne Daly, Sandeep Thakur, Brian Gaither, Niamh Minihane, Catherine Costigan