Google Inc.

Benjamin Hal Murdoch

Norman Casagrande

Christopher Gamble

Christopher Sigurd Fougner

Thomas Degris

Peeyush Agarwal

A computer-implemented method for adaptive display brightness adjustment, the method comprising: obtaining current state data characterizing a current state of a device having a display with an adjustable brightness; providing the current state data as input to a brightness prediction machine learning model, wherein the model is configured to process the current state data in accordance with current values of a set of model parameters to generate as output a proposed display brightness for the display of the device; setting the brightness of the display to a brightness that is lower than the proposed display brightness in accordance with an exploration policy; determining whether a user of the device manually adjusts the display brightness; and in response to determining that the user did not manually adjust the display brightness, using the lower brightness as a target output for adjusting the current values of the set of model parameters.

Adaptive display brightness adjustment

Systems and techniques are provided for detecting the location of a user, stopping media output from a first media output device, and selecting a second media output device for output of media, based on the detection. Media output from a first media output device may be stopped based on the detection or based on media output from the second media output device. A media control device used to select or control the media output may remain proximate to the first media output device as the second media output device is selected. For example, a first output device may output a media component selected by a user located proximate to the first output device. The user may exit the location and enter a second location proximate to a second output device. The media component may be output from the second output device based on detecting the user at the second location.

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London, United Kingdom

Benjamin Hal Murdoch