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20082025
most citedA 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference

294 citations · 898 across the 16 of their papers we have counts for

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cs.LG2025

Assessing the Performance of Analog Training for Transfer Learning

Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch +3

Analog in-memory computing is a next-generation computing paradigm that promises fast, parallel, and energy-efficient deep learning training and transfer learning (TL). However, ac…

cs.AR2025

Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing

J. Luquin, C. Mackin, S. Ambrogio +11

Analog In-Memory Compute (AIMC) can improve the energy efficiency of Deep Learning by orders of magnitude. Yet analog-domain device and circuit non-idealities -- within the analog…