Microsoft Technology Licensing, LLC

Nicholas D Lane

David Chiyuan Chu

Alastair Wolman

Thomas Moscibroda

Jing Zhao

Feng Zhao

Jaebaek Seo

Technologies pertaining to sharing an application installed on a mobile computing device with another computing device are described herein. An indication is received that the application is desirably shared with the another computing device. Responsive to receiving such indication, a communications channel is automatically established between the mobile computing device and the another computing device, and display data generated at the mobile computing device is transmitted to the another computing device by way of the communications channel. The display data is displayed on the another computing device.

Mobile computing device application sharing

An architecture and techniques to enable a mobile device to efficiently classify raw sensor data into useful high level inferred data is discussed. Classification efficiency is achieved by tuning the mobile device's raw sensor data classification pipeline to attain a balance of accuracy, latency and energy suitable for mobile devices. The tuning of the classification pipeline is accomplished via a multi-pipeline tuning approach that uses Statistical Machine Learning Tools (SMLTs) and a classification cost modeler.

Automated classification pipeline tuning under mobile device resource constraints

Growing community of inventors

Beijing, China

Nicholas D Lane