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Hardware and Devices

Connecting users more naturally with their computing environment


Our research focuses on developing devices that will connect users more intimately, naturally, and efficiently with their computing environment. The devices range from large displays to wearable devices to micro-electro-mechanical systems. We collaborate with other groups to build the hardware that will support the next generation of software. We’ve developed ideas for new types of microphones and unique data-input devices, and we’re researching reconfigurable computing hardware.

 

Publications

Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore, Quantum Nearest-neighbor Algorithms for Machine Learning, in Quantum Information and Computation, vol. 15, no. 3&4, pp. 0318-0358, Rinton Press, March 2015

Gordon Bell, Supercomputers: The Amazing Race, no. MSR-TR-2015-2, 1 January 2015

Dimitris Papanikolaou, A.J. Brush, and Asta Roseway, BodyPods: Designing Posture Sensing Chairs for Capturing and Sharing Implicit Interactions, in In Proceedings of TEI 2015, ACM – Association for Computing Machinery, January 2015

Yunxin Liu, Zhen Qin, and Chunshui Zhao, AutoCharge: Automatically Charge Smartphones Using a Light Beam, no. MSR-TR-2015-5, January 2015

Sang-won Leigh, Asta Roseway, and Ann Paradiso, Remnance of Form, in Proceedings of TEI 2015, ACM – Association for Computing Machinery, January 2015

More publications...