A Dynamic Memory for Reservoir Computing Utilizing Ion Migration in CuInP2S6
Abstract Time‐series analysis and forecasting play a vital role in the fields of economics and engineering. Neuromorphic computing, particularly recurrent neural networks (RNNs), has emerged as an effective approach to address these tasks. Reservoir computing (RC), a type of RNN, offers a powerful a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2024-01-01
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| Series: | Advanced Electronic Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aelm.202300481 |