News
Bayesian continual learning and forgetting in neural networks
Biological synapses effortlessly balance memory retention and flexibility, yet artificial neural networks still struggle with the extremes of catastrophic forgetting and catastrophic remembering. Here, we introduce Metaplasticity from Synaptic Uncertainty (MESU), a Bayesian update rule that scales each parameter’s …
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When nanospheres organize, sound reshapes
Researchers from C2N and the Instituto de Ciencia de Materiales de Madrid have developed a cost-effective approach to block sound waves oscillating at billions of vibrations per second. By allowing tiny polystyrene spheres to self-assemble, they created a network …
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A new AI memory capable of learning and deciding on-chip
A French team led by CEA-Leti, with participation from C2N and several other laboratories*, has developed a hybrid memory technology that allows artificial neural networks to learn and make decisions directly on-chip. The new system combines ferroelectric capacitors …
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