most citedAll-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices

14 citations · 14 across the 4 of their papers we have counts for

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cs.NE2025

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses

Nikhil Garg, Ismael Balafrej, Joao Henrique Quintino Palhares +11

The deployment of AI on edge computing devices faces significant challenges related to energy consumption and functionality. These devices could greatly benefit from brain-inspired…