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...
by RLE at MIT | May 30, 2017 | RLE Recent Papers
Tim Schroder, Matthew E. Trusheim, Michael Walsh, Luozhou Li, Jiabao Zheng, Marco Schukraft, Alp Sipahigil, Ruffin E. Evans, Denis D. Sukachev, Christian T. Nguyen, Jose L. Pacheco, Ryan M. Camacho, Edward S. Bielejec, Mikhail D. Lukin &...
by RLE at MIT | May 23, 2017 | RLE Recent Papers
Sung Hee Ko, Divya Chandra, Wei Ouyang , Taehong Kwon , Pankaj Karande, and Jongyoon Han DOI: 10.1038/NNANO.2017.74 Abstract: Process analytical technology (PAT) is critical for the manufacture of high-quality biologics as it enables continuous, real-time and...
by RLE at MIT | Apr 20, 2017 | RLE Recent Papers
Yunjo Kim1, Samuel S. Cruz, Kyusang Lee, Babatunde O. Alawode, Chanyeol Choi, Yi Song, Jared M. Johnson, Christopher Heidelberger, Wei Kong, Shinhyun Choi, Kuan Qiao, Ibraheem Almansouri1, Eugene A. Fitzgerald, Jing Kong, Alexie M. Kolpak, Jinwoo Hwang, &...