by RLE at MIT | Jul 18, 2017 | RLE Recent Papers
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze DOI: arXiv:1611.05128v4 Abstract: Deep convolutional neural networks (CNNs) are indispensable to state-of-the-art computer vision algorithms. However, they are still rarely deployed on battery-powered...
by RLE at MIT | Jul 11, 2017 | News Links
Method for designing efficient computer chips may get miniature smart drones off the ground. «more» Related Links: Miniaturizing the brain of a drone (MIT News) Energy-Efficient Multimedia Systems Group Professor...
by RLE at MIT | Jun 15, 2017 | RLE Recent Papers
Yu-Hsin Chen, Joel Emer, Vivienne Sze DOI: 10.1109/MM.2017.54 Abstract: The authors demonstrate the key role dataflows play in the optimization of energy efficiency for deep neural network (DNN) accelerators. By introducing a systematic approach to...
by RLE at MIT | Jun 7, 2017 | RLE Recent Papers
Zhengdong Zhang, Vivienne Sze DOI: 10.1109/CVPRW.2017.138 Abstract: State-of-the-art super-resolution (SR) algorithms require significant computational resources to achieve real-time throughput (e.g., 60Mpixels/s for HD video). This paper in-troduces FAST (Free...
by RLE at MIT | Jun 1, 2017 | RLE Recent Papers
Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman RSS 2017 Abstract: Autonomous navigation of miniaturized robots (e.g., nano/pico aerial vehicles) is currently a grand challenge for robotics research, due to the need for processing a...
