Forward-Forward Learning Exploiting Low-Voltage Reset of RRAM

This paper presents the first adaptation of the Forward-Forward algorithm for resistive memory. Using RRAM in the low-voltage RESET regime and by cooptimizing device programming conditions and algorithm, we achieve accurate heartbeat classification, with important benefits in energy efficiency, endurance, and device retention.