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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks

Document Type

Article

Author

Bonnet, D.; Hirtzlin, T.; Esmanhotto, E.; Meli, V.; Castellani, N.; Martin, S.; Nodin, J.-F.; Bourgeois, G.; Vianello, E.; Majumdar, A.; Querlioz, D.; Dalgaty, T.; Portal, J.-M.

Source

In: Nature Communications. (Nature Communications, December 2023, 14(1))

Subject

Language

English

ISSN

20411723

Online Access

Full Text (ProQuest Central) Web of Science JCR 저널정보 Scopus Find it@PNU

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