Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 2

Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +3

This report extends our previous work (Part 1), which introduced an energy-based model for learning and decision-making under uncertainty. The model leverages stochastic Langevin d…