Adiabatic capacitive neuron: an energy-efficient functional unit for artificial neural networks

This paper presents a highly energy-efficient adiabatic capacitive neuron (ACN) hardware implementation of an artificial neuron (AN), with improved energy efficiency, robustness, and scalability over previous work. A single-neuron ACN with 12 one-bit capacitive synapses is implemented in 0.18 μm CMO...

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Bibliografische Detailangaben

Hauptverfasser:	Sachin Maheshwari, Mike Smart, Himadri Singh Raghav, Themis Prodromakis, Alexander Serb
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-02-01
Schriftenreihe:	Frontiers in Electronics
Schlagworte:	adiabatic artificial neural networks capacitive energy recovery logic energy-efficient neuron
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/felec.2026.1743265/full
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