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FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Li, Chao, Xu, Zhicheng, Wen, Bo, Mao, Ruibin, Li, Can, Kämpfe, Thomas, Ni, Kai, Yin, Xunzhao
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Emerging Technologies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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