Patents by Inventor Harry Bleyan

Harry Bleyan 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).

  • Evaluating new feature(s) for client device(s) based on performance measure(s)
    Patent number: 12711033
    Abstract: Implementations disclosed herein are directed to systems and methods for evaluating new feature(s) for client device(s) based on performance measure(s) of the client device(s) and/or the new feature(s). The new feature(s) can include, for example, machine learning (ML) model(s), non-ML software-enabled functionality, non-ML hardware-enabled functionality, and/or ML or non-ML software application features for a given software application utilized by the client device(s). The client device(s) can generate the performance measure(s) by processing a plurality of testing instances for the new feature(s). The performance measure(s) can include, for example, latency measure(s), memory consumption measure(s), CPU usage measure(s), precision and/or recall measure(s), and/or other measures. In some implementations, the new feature(s) may be activated for use locally at the client device(s) based on the performance measure(s), and optionally at other client device(s) that share the same device characteristics.
    Type: Grant
    Filed: April 11, 2022
    Date of Patent: August 18, 2026
    Assignee: GOOGLE LLC
    Inventors: Dragan Zivkovic, Harry Bleyan, Tamar Lucassen, Akash Agrawal, Françoise Beaufays
  • EVALUATING NEW FEATURE(S) FOR CLIENT DEVICE(S) BASED ON PERFORMANCE MEASURE(S)
    Publication number: 20260169885
    Abstract: Implementations disclosed herein are directed to systems and methods for evaluating new feature(s) for client device(s) based on performance measure(s) of the client device(s) and/or the new feature(s). The new feature(s) can include, for example, machine learning (ML) model(s), non-ML software-enabled functionality, non-ML hardware-enabled functionality, and/or ML or non-ML software application features for a given software application utilized by the client device(s). The client device(s) can generate the performance measure(s) by processing a plurality of testing instances for the new feature(s). The performance measure(s) can include, for example, latency measure(s), memory consumption measure(s), CPU usage measure(s), precision and/or recall measure(s), and/or other measures. In some implementations, the new feature(s) may be activated for use locally at the client device(s) based on the performance measure(s), and optionally at other client device(s) that share the same device characteristics.
    Type: Application
    Filed: February 4, 2026
    Publication date: June 18, 2026
    Inventors: Dragan Zivkovic, Harry Bleyan, Tamar Lucassen, Akash Agrawal, Françoise Beaufays
  • Evaluating new feature(s) for client device(s) based on performance measure(s)
    Patent number: 12572439
    Abstract: Implementations disclosed herein are directed to systems and methods for evaluating new feature(s) for client device(s) based on performance measure(s) of the client device(s) and/or the new feature(s). The new feature(s) can include, for example, machine learning (ML) model(s), non-ML software-enabled functionality, non-ML hardware-enabled functionality, and/or ML or non-ML software application features for a given software application utilized by the client device(s). The client device(s) can generate the performance measure(s) by processing a plurality of testing instances for the new feature(s). The performance measure(s) can include, for example, latency measure(s), memory consumption measure(s), CPU usage measure(s), precision and/or recall measure(s), and/or other measures. In some implementations, the new feature(s) may be activated for use locally at the client device(s) based on the performance measure(s), and optionally at other client device(s) that share the same device characteristics.
    Type: Grant
    Filed: April 11, 2022
    Date of Patent: March 10, 2026
    Assignee: GOOGLE LLC
    Inventors: Dragan Zivkovic, Harry Bleyan, Tamar Lucassen, Akash Agrawal
  • EVALUATING NEW FEATURE(S) FOR CLIENT DEVICE(S) BASED ON PERFORMANCE MEASURE(S)
    Publication number: 20220308975
    Abstract: Implementations disclosed herein are directed to systems and methods for evaluating new feature(s) for client device(s) based on performance measure(s) of the client device(s) and/or the new feature(s). The new feature(s) can include, for example, machine learning (ML) model(s), non-ML software-enabled functionality, non-ML hardware-enabled functionality, and/or ML or non-ML software application features for a given software application utilized by the client device(s). The client device(s) can generate the performance measure(s) by processing a plurality of testing instances for the new feature(s). The performance measure(s) can include, for example, latency measure(s), memory consumption measure(s), CPU usage measure(s), precision and/or recall measure(s), and/or other measures. In some implementations, the new feature(s) may be activated for use locally at the client device(s) based on the performance measure(s), and optionally at other client device(s) that share the same device characteristics.
    Type: Application
    Filed: April 11, 2022
    Publication date: September 29, 2022
    Inventors: Dragan Zivkovic, Harry Bleyan, Tamar Lucassen, Akash Agrawal