Patents by Inventor Rahul Anand Sharma

Rahul Anand 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).

  • Sensor fall curve identification
    Patent number: 11327476
    Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: May 10, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Tusher Chakraborty, Akshay Uttama Nambi Srirangam Narashiman, Ranveer Chandra, Rahul Anand Sharma, Manohar Swaminathan, Zerina Kapetanovic, Jonathan Appavoo
  • Deep neural network workload scheduling
    Patent number: 10942767
    Abstract: Systems, methods, and computer-executable instructions for scheduling neural network workloads on an edge device. A performance model for each neural network model is received. Parameters for each neural network workload is determined based on an associated performance model. Processing core assignments are determined from a plurality of processing cores for each neural network workload based on the corresponding performance model and processing core utilization. Image streams are received and associated with a neural network workload. Each neural network workload is scheduled to run on the processing cores based on the processing core assignments.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: March 9, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ranveer Chandra, Rahul Anand Sharma
  • Sensor Fall Curve Identification
    Publication number: 20200150640
    Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.
    Type: Application
    Filed: November 13, 2018
    Publication date: May 14, 2020
    Inventors: Tusher Chakraborty, Akshay Uttama Nambi Srirangam Narashiman, Ranveer Chandra, Rahul Anand Sharma, Manohar Swaminathan, Zerina Kapetanovic, Jonathan Appavoo
  • DEEP NEURAL NETWORK WORKLOAD SCHEDULING
    Publication number: 20190266015
    Abstract: Systems, methods, and computer-executable instructions for scheduling neural network workloads on an edge device. A performance model for each neural network model is received. Parameters for each neural network workload is determined based on an associated performance model. Processing core assignments are determined from a plurality of processing cores for each neural network workload based on the corresponding performance model and processing core utilization. Image streams are received and associated with a neural network workload. Each neural network workload is scheduled to run on the processing cores based on the processing core assignments.
    Type: Application
    Filed: February 27, 2018
    Publication date: August 29, 2019
    Inventors: Ranveer Chandra, Rahul Anand Sharma