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Paul Solomon

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Open access Sep 2026

Implementation of offset corrected AGAD algorithm on 130-nm CMOS technology–based RRAM array for analog neural network training

We present the first implementation of the analog gradient accumulation with dynamic reference (AGAD), reported as the most advanced and highest-performing version of the TT (Tiki-Taka) algorithm, on an HfO2-based resistive random-access memory (RRAM) array for analog neural network training. Through comparative simula...

Ji-Min Lee, Paul Solomon, N. Gong et al. · 0 citations

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