A Fully-Integrated Memristor Chip for Edge Learning
Corresponding Author: Wenjun Li
Nano-Micro Letters,
Vol. 16 (2024), Article Number: 166
Abstract
Highlights:
1 The fully-integrated memristor chip for edge learning provides a solid foundation for neural network computation.
2 The fully-integrated memristor chip enables efficient object recognition in noisy backgrounds while minimizing energy consumption.
3 The computing-in-memory chip represents an innovative and interdisciplinary technology that extends beyond multiple research domains.
Keywords
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Endnote/Zotero/Mendeley (RIS)BibTeX
- 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). https://doi.org/10.1126/science.ade3483
- 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). https://doi.org/10.1126/sciadv.abn7753
- 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). https://doi.org/10.1038/s41565-020-0722-5
- 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). https://doi.org/10.1038/s41586-023-05759-5
- 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). https://doi.org/10.1038/s41586-022-04992-8
References
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). https://doi.org/10.1126/science.ade3483
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). https://doi.org/10.1126/sciadv.abn7753
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). https://doi.org/10.1038/s41565-020-0722-5
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). https://doi.org/10.1038/s41586-023-05759-5
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). https://doi.org/10.1038/s41586-022-04992-8