Patents by Inventor Aishwarya Sharma

Aishwarya Sharma 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: 20240122989
    Abstract: Provided herein are compositions, methods, and systems, comprising a programmable nucleic acid-guided nuclease and sequence-diverged donor sequences. The compositions and methods described herein facilitate editing of a targeted locus using a diverged sequence encoding for a functional protein product.
    Type: Application
    Filed: October 12, 2023
    Publication date: April 18, 2024
    Inventors: Beeke Wienert, Rajiv Sharma, Daniel Dever, Aishwarya Churi, Christopher Bandoro
  • Patent number: 11635988
    Abstract: A computing device determines an optimal number of threads for a computer task. Execution of a computing task is controlled in a computing environment based on each task configuration included in a plurality of task configurations to determine an execution runtime value for each task configuration. An optimal number of threads value is determined for each set of task configurations having common values for a task parameter value, a dataset indicator, and a hardware indicator. The optimal number of threads value is an extremum value of an execution parameter value as a function of a number of threads value. A dataset parameter value is determined for a dataset. A hardware parameter value is determined as a characteristic of each distinct executing computing device in the computing environment. The optimal number of threads value for each set of task configurations is stored in a performance dataset in association with the common values.
    Type: Grant
    Filed: August 19, 2022
    Date of Patent: April 25, 2023
    Assignee: SAS Institute Inc.
    Inventors: Yan Gao, Joshua David Griffin, Yu-Min Lin, Yan Xu, Seyedalireza Yektamaram, Amod Anil Ankulkar, Aishwarya Sharma, Girish Vinayak Kolapkar, Kiran Devidas Bhole, Kushawah Yogender Singh, Jorge Manuel Gomes da Silva