Memristor devices have shown notable superiority in the realm of neuromorphic computing chips, particularly in artificial intelligence (AI) inference tasks. Researchers are now grappling with the intricacies of incorporating in situ learning capabilities into memristor-based chips, paving the way for more powerful edge intelligence.
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The authors gratefully acknowledge support from the National Natural Science Foundation of China (62025111 and 92064001).
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Yao, P., Gao, B. & Wu, H. Transforming edge hardware with in situ learning features. Nat Rev Electr Eng 1, 141–142 (2024). https://doi.org/10.1038/s44287-024-00031-y
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DOI: https://doi.org/10.1038/s44287-024-00031-y
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