Implementation of artificial neurons with tunable width via magnetic anisotropy

Author:

Niu Chang1ORCID,Zhao Yuansheng1ORCID,Hu Wenjie1,Shi Qian1,Miao Tian1,Yu Yang1ORCID,Yin Lifeng12345,Xiao Jiang12345ORCID,Guo Hangwen24,Shen Jian12345ORCID

Affiliation:

1. State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China

2. Institute for Nanoelectronics Devices and Quantum Computing, Fudan University, Shanghai 200433, China

3. Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China

4. Shanghai Qi Zhi Institute, Shanghai 200232, China

5. Shanghai Research Center for Quantum Sciences, Shanghai 201315, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Municipal Natural Science Foundation

Shanghai Municipal Science and Technology Major Project

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Reference31 articles.

1. Deep learning in neural networks: An overview

2. Neuroscience-Inspired Artificial Intelligence

3. C. M. Kim , K. H. Choi , and Y. B. Cho , in Proceedings of the International Joint Conference on Neural Networks 2003 ( IEEE, 2003), Vols. 1–4, pp. 953.

4. M. Courbariaux , I. Hubara , D. Soudry et al., arXiv:1602.02830 (2016).

5. Binary neural networks: A survey

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