This work reveals energy-efficient activation mechanisms in neurons for 3D neural networks, suggesting advances in computing systems.
-fold) compared with conventional circuit-based neural networks. These results establish a device-level hardware basis and propose a scalable architectural direction toward high-density, energy-efficient, parallel in-memory computing systems.
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Kim et al. (2026) studied this question.
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