arxivcs.ARcs.NEphysics.app-ph2026-07-27
Mitigating the Impact of Retention Loss on Inference Accuracy in 65 nm Single-Poly Floating-Gate Analog In-Memory Computing
Mirko Brazzini, Giulio Filippeschi, Alessandro Catania, Sebastiano Strangio, Giuseppe Iannaccone
We show with experiments and system-level simulations that it is possible to successfully mitigate the impact of retention loss on inference accuracy degradation by using both circuit-level compensation techniques and batch normalization recalibration at the algorithmic level. Ex…