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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.



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

Adam Paetznick and Krysta M. Svore, Repeat-Until-Success: Non-deterministic decomposition of single-qubit unitaries, in Quantum Information and Computation, vol. 14, no. 15&16, pp. 1277-1301, Rinton Press, 1 November 2014

Kent W. Nixon, Xiang Chen, Hucheng Zhou, Yunxin Liu, and Yiran Chen, Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling, HotPower'14, October 2014

Xiang Chen, Kent W. Nixon, Hucheng Zhou, Yunxin Liu, and Yiran Chen, FingerShadow: An OLED Power Optimization based on Smartphone Touch Interactions, HotPower'14, October 2014

Sarah Mennicken, A. J. Bernheim Brush, Asta Roseway, and James Scott, Exploring Interactive Furniture with EmotoCouch, in Adjunct Proceedings of ACM UbiComp 2014 (videos track), ACM – Association for Computing Machinery, 15 September 2014

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