Samsung Electronics Co., Ltd.

Karthikeyan Saravanan

Daniel Ansorregui Lobete

Daniel Ansorregui

Ramesh Munikrishnappa

Albert Saa-Garriga

Frederik Laboyrie

Cristian Szabo

James Bantock

Marco Starace

Zeeshan Anwar

A method of for providing personalized management system, the method comprising: obtaining training data comprising respective sets of parameters of the mobile device, including at least one of a frame rate of the display and a refresh rate of the display, and corresponding usage of the mobile device; training the ML algorithm using the provided training data comprising determining relationships between the respective sets of parameters of the mobile device and the corresponding usage of the mobile device; and controlling the mobile device by managing parameters of the mobile device, including at least one of a frame rate of the display and a refresh rate of the display, responsive to the corresponding usage of the mobile device.

Mobile device and method for providing personalized management system

Image processing comprises receiving content from an application; rendering the content into a rendered frame and storing the rendered frame in a frame buffer; transferring the rendered frame from the frame buffer to a compositor, and displaying the rendered frame using the compositor. The image processing further comprises applying a non-linear transformation to at least part of the rendered frame during the rendering the content into the rendered frame; during the transferring of the rendered frame to the compositor, or during the displaying of the rendered frame by the compositor.

Image processing

A method for a first electronic device comprises generating a decision-making data structure using a machine learning data structure; transmitting, to a second electronic device, the decision-making data structure; receiving, from the electronic device, result data regarding a result of performing a selected action selected from the decision-making data structure; and updating the machine learning data structure using the result data.

Method and apparatus for operating an electronic device based on a decision-making data structure using a machine learning data structure

A method of setting operating system parameters of a device includes: identifying, based on execution of an application, at least one workload type for the application; generating a workload-specific policy corresponding to the at least one workload type; and setting the operating system parameters based on the workload-specific policy.

Method and device for setting operating system

Provided is a method of managing power of an electronic device. The method includes: obtaining operation information related to an operation from among operations performed by the electronic device. The operation is recognizable to a user via a product of hardware processing performed by hardware included in the electronic device. The method also includes obtaining load information related to a load generated by the operation performed by the electronic device. In addition, the method includes performing power management on the hardware included in the electronic device based on the operation information and the load information.

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Staines, United Kingdom

Karthikeyan Saravanan