With the help of two different kinds of memristor, a low-power, fully analogue reservoir computing system can be created for use in high-accuracy arrhythmia detection and dynamic gesture recognition.
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References
Zhang, W. et al. Nat. Electron. 3, 371–382 (2020).
Yan, X. et al. Adv. Mater. 34, 2110343 (2022).
Zhong, Y. et al. Nat. Electron. https://doi.org/10.1038/s41928-022-00838-3 (2022).
Salmela, L. et al. Nat. Mach. Intell. 3, 344–354 (2021).
Gauthier, D. J., Bollt, E., Griffith, A. & Barbosa, W. A. S. Nat. Commun. 12, 5564 (2021).
Kleyko, D., Frady, E. P., Kheffache, M. & Osipov, E. IEEE Trans. Neural Netw. Learn. Syst. 33, 1688–1701 (2022).
Moon, J. Nat. Electron. 2, 480–487 (2019).
Yu, J. et al. In 2021 Symposium on VLSI Technology 1–2 (IEEE, 2021); https://go.nature.com/3dYmjGk
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Yan, X. Reservoir computing goes fully analogue. Nat Electron 5, 629–630 (2022). https://doi.org/10.1038/s41928-022-00854-3
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DOI: https://doi.org/10.1038/s41928-022-00854-3
