research
∙
07/28/2023
Quantum-noise-limited optical neural networks operating at a few quanta per activation
Analog physical neural networks, which hold promise for improved energy ...
share
research
∙
05/22/2023
Training an Ising Machine with Equilibrium Propagation
Ising machines, which are hardware implementations of the Ising model of...
research
∙
03/16/2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Equilibrium Propagation (EP) is an algorithm intrinsically adapted to th...
research
∙
10/15/2020