Grollier Lab

Research focus

ERC Advanced Grant · 2020

Neural Gradient Evaluation through Nanodevice Dynamics

The Grenadyn project will demonstrate that assemblies of imperfect, dynamical nanodevices can self-learn through physical principles, like biological neurons and synapses do, with performance comparable to the best artificial intelligence (AI) algorithms. For this, Grenadyn’s networks will minimize their effective energy together with the recognition error when learning. The starting point of Grenadyn is an algorithm called Equilibrium Propagation, developed by AI pioneer Yoshua Bengio, that takes its roots in physics. We will assemble memristive as well as spintronic nanocomponents in neural networks that perform pattern recognition through Equilibrium Propagation. We will show that these…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.