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ORCIDNCS 2017: Knoxville, TN, USA
- Proceedings of the Neuromorphic Computing Symposium, NCS 2017, Knoxville, TN, USA, July 17-19, 2017. ACM 2017
- Xiaowei Xu
, Qing Lu, Tianchen Wang, Jinglan Liu, Yu Hu, Yiyu Shi:
Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization. 1:1-1:10 - Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose:
Neuromorphic computing for temporal scientific data classification. 2:1-2:6 - Shaahin Angizi, Deliang Fan:
IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network. 3:1-3:8 - Alex Nugent, Tim Molter:
From memristors to compositional machine learning: exploring neuromemristive algorithmic abstractions with the knowm API. 4:1-4:8 - Austin Wyer, Md Musabbir Adnan, Bon Woong Ku, Sung Kyu Lim, Catherine D. Schuman, Raphael C. Pooser, Garrett S. Rose:
Evaluating online-learning in memristive neuromorphic circuits. 5:1-5:8 - David R. Follett, Duncan Townsend, Pamela L. Follett, Gabe D. Karpman, John H. Naegle, Roger A. Suppona, James B. Aimone, Conrad D. James:
Neuromorphic data microscope. 6:1-6:5 - James B. Aimone, Ojas Parekh, William Severa:
Neural computing for scientific computing applications: more than just machine learning. 7:1-7:6 - Zhongyang Liu, Shaoheng Luo, Xiaowei Xu, Yiyu Shi, Cheng Zhuo:
FPGA based cellular neural network optimization: from design space to system. 8:1-8:7 - Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Community detection with spiking neural networks for neuromorphic hardware. 9:1-9:8 - Raqibul Hasan, Tarek M. Taha:
Memristor crossbar based winner take all circuit design for self-organization. 10:1-10:4 - Hongyu An, Zhen Zhou, Yang Yi:
3D memristor-based adjustable deep recurrent neural network with programmable attention mechanism. 11:1-11:6
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