Patents by Inventor Giovanni Botta

Giovanni Botta 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: 12242322
    Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
    Type: Grant
    Filed: September 7, 2023
    Date of Patent: March 4, 2025
    Assignee: Google LLC
    Inventors: Alexander Varshavsky, Bhaskar Mehta, Brian Coopersmith, Giovanni Botta
  • Publication number: 20230418357
    Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
    Type: Application
    Filed: September 7, 2023
    Publication date: December 28, 2023
    Inventors: Alexander Varshavsky, Bhaskar Mehta, Brian Coopersmith, Giovanni Botta
  • Patent number: 11782496
    Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
    Type: Grant
    Filed: October 27, 2022
    Date of Patent: October 10, 2023
    Assignee: Google LLC
    Inventors: Alexander Varshavsky, Bhaskar Mehta, Brian Coopersmith, Giovanni Botta
  • Publication number: 20230050146
    Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
    Type: Application
    Filed: October 27, 2022
    Publication date: February 16, 2023
    Inventors: Alexander Varshavsky, Bhaskar Mehta, Brian Coopersmith, Giovanni Botta
  • Patent number: 11507172
    Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: November 22, 2022
    Assignee: Google LLC
    Inventors: Alexander Varshavsky, Bhaskar Mehta, Brian Coopersmith, Giovanni Botta
  • Publication number: 20200019228
    Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
    Type: Application
    Filed: December 29, 2017
    Publication date: January 16, 2020
    Applicant: Google LLC
    Inventors: Alexander Varshavsky, Bhaskar Mehta, Brian Coopersmith, Giovanni Botta