Apple Inc.

Leon A Gatys

Thorsten Gernoth

Onur Canturk Hamsici

Srikrishna Sridhar

Shawn R Scully

Carlos E Guestrin

Shreyas V Joshi

Gustav M Larsson

Kory R Watson

Karla P Vega

Emily Fox

Jonas Rauber

Techniques are disclosed for controlling a device's operation based on an inferred state. More specifically, at each of a set of time points, execution of an application at an electronic device is detected. For each detected execution, an application-usage variable is determined. One or more aggregated metrics are generated based on aggregation of at least some of the application-usage variables. Based on the one or more aggregated metrics, a state identifier is identified that corresponds to an inferred state of a user of the electronic device. A device-operation identifier is retrieved that is associated with the state identifier. A device operation is performed associated with the device-operation identifier.

Device-usage processing for generating inferred user states

A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.

Machine learning assisted image prediction

Growing community of inventors

Mountain View, CA, United States of America

Leon A Gatys