|
|
|
Yanhong Zhang, Liang Chu( ), Wenjun Li() |
|
| A Fully-Integrated Memristor Chip for Edge Learning |
| Yanhong Zhang, Liang Chu(), Wenjun Li() |
| School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, People’s Republic of China |
| 1. |
W. Zhang, P. Yao, B. Gao, Q. Liu, D. Wu et al., Edge learning using a fully integrated neuro-inspired memristor chip. Science 381, 1205-1211 (2023).
|
| 2. |
B. Gao, B. Lin, Y. Pang, F. Xu, Y. Lu et al., Concealable physically unclonable function chip with a memristor array. Sci. Adv. 8, eabn7753 (2022).
|
| 3. |
X. Li, J. Tang, Q. Zhang, B. Gao, J.J. Yang et al., Power-efficient neural network with artificial dendrites. Nat. Nanotechnol. 15, 776-782 (2020).
|
| 4. |
M. Rao, H. Tang, J. Wu, W. Song, M. Zhang et al., Thousands of conductance levels in memristors integrated on CMOS. Nature 615, 823-829 (2023).
|
| 5. |
W. Wan, R. Kubendran, C. Schaefer, S.B. Eryilmaz, W. Zhang et al., A compute-in-memory chip based on resistive random-access memory. Nature 608, 504-512 (2022).
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2024, Vol. 16 
