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The Grenadyn project aims to create self-learning networks of nanodevices that mimic biological neurons, achieving high performance in pattern recognition. By utilizing physical principles and innovative materials, these networks adapt and learn directly from data, offering potential advancements in artificial intellig…
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, Grenadyns 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 take…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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