Local stochastic computing using memristor-enabled stochastic logics

arXiv:2402.16908v1 Announce Type: cross
Abstract: Stochastic computing offers a probabilistic approach to address challenges posed by problems with uncertainty and noise in various fields, particularly machine learning. The realization of stochastic computing, however, faces the limitation of developing reliable stochastic logics. Here, we present stochastic logics development using memristors. Specifically, we integrate memristors into logic circuits to design the stochastic logics, wherein the inherent stochasticity in memristor switching is harnessed to enable stochastic number encoding and processing with well-regulated probabilities …

abstract arxiv challenges computing cond-mat.mtrl-sci cs.et cs.lg development eess.iv fields machine machine learning memristor noise stochastic type uncertainty