Patents by Inventor Shardul Mangade

Shardul Mangade 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: 10972372
    Abstract: In some implementations, a user device can schedule tasks based on user behavior. For example, the user device can receive a task request that includes a time window and user/device context parameters for performing the task. The user device can predict a time when the user/device context is optimal for performing the task during the time window based on historical context data. For example, the user device can generate an optimal context score for the task based on the context parameters and the historical context data. The user device can execute the requested task at a current time within the time window when a context score for the current context exceeds a threshold determined based on the optimal context score.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: April 6, 2021
    Assignee: Apple Inc.
    Inventors: Kartik Venkatraman, Cyril de la Cropte de Chanterac, Shardul Mangade
  • Publication number: 20190075037
    Abstract: In some implementations, a user device can schedule tasks based on user behavior. For example, the user device can receive a task request that includes a time window and user/device context parameters for performing the task. The user device can predict a time when the user/device context is optimal for performing the task during the time window based on historical context data. For example, the user device can generate an optimal context score for the task based on the context parameters and the historical context data. The user device can execute the requested task at a current time within the time window when a context score for the current context exceeds a threshold determined based on the optimal context score.
    Type: Application
    Filed: November 5, 2018
    Publication date: March 7, 2019
    Applicant: Apple Inc.
    Inventors: Kartik Venkatraman, Cyril de la Cropte de Chanterac, Shardul Mangade
  • Patent number: 10148546
    Abstract: In some implementations, a user device can schedule tasks based on user behavior. For example, the user device can receive a task request that includes a time window and user/device context parameters for performing the task. The user device can predict a time when the user/device context is optimal for performing the task during the time window based on historical context data. For example, the user device can generate an optimal context score for the task based on the context parameters and the historical context data. The user device can execute the requested task at a current time within the time window when a context score for the current context exceeds a threshold determined based on the optimal context score.
    Type: Grant
    Filed: June 9, 2016
    Date of Patent: December 4, 2018
    Assignee: APPLE INC.
    Inventors: Kartik Venkatraman, Cyril de la Cropte de Chanterac, Shardul Mangade
  • Publication number: 20170357529
    Abstract: In some implementations, a user device can schedule tasks based on user behavior. For example, the user device can receive a task request that includes a time window and user/device context parameters for performing the task. The user device can predict a time when the user/device context is optimal for performing the task during the time window based on historical context data. For example, the user device can generate an optimal context score for the task based on the context parameters and the historical context data. The user device can execute the requested task at a current time within the time window when a context score for the current context exceeds a threshold determined based on the optimal context score.
    Type: Application
    Filed: June 9, 2016
    Publication date: December 14, 2017
    Inventors: Kartik Venkatraman, Cyril de la Cropte de Chanterac, Shardul Mangade