3 papers
cs.ET2025
Neuromorphic weighted sums with magnetic skyrmions
Tristan da Câmara Santa Clara Gomes, Yanis Sassi, Dédalo Sanz-Hernández +7
Integrating magnetic skyrmions into neuromorphic computing could help improve hardware efficiency and computational power. However, developing a scalable implementation of the weig…
cond-mat.dis-nn2025
Training and synchronizing oscillator networks with Equilibrium Propagation
Théophile Rageau, Julie Grollier
Oscillator networks represent a promising technology for unconventional computing and artificial intelligence. Thus far, these systems have primarily been demonstrated in small-sca…
cs.NE2024
Unsupervised End-to-End Training with a Self-Defined Target
Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy +2
Designing algorithms for versatile AI hardware that can learn on the edge using both labeled and unlabeled data is challenging. Deep end-to-end training methods incorporating phase…