Hardware implementation of memristor-based artificial neural networks

Aguirre, Fernando; Sebastian, Abu; Le Gallo, Manuel; Song, Wenhao; Wang, Tong; Joshua Yang, J.; Lü, Wei; Chang, Meng‐Fan; Ielmini, Daniele; Yang, Yuchao; Mehonić, Adnan; J. Kenyon, Anthony; A. Villena, Marco; Roldán, J.B.; Wu, Yuting; Hsu, Hung-Hsi; Raghavan, Nagarajan; Suñé, J.; Miranda, E.; M. Eltawil, Ahmed; Setti, Gianluca; Smagulova, Kamilya; Saláma, K.; Krestinskaya, Olga; Yan, Xiaobing; Ang, Kah‐Wee; Jain, Samarth; Li, Sifan; Alharbi, Osamah; Pazos, Sebastián; Lanza, Mario

doi:10.1038/s41467-024-45670-9

Public

Hardware implementation of memristor-based artificial neural networks

Published in Nature Communications • Mar 4, 2024

Authors:

Fernando Aguirre

Abu Sebastian

Manuel Le Gallo

Abstract

Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth between memory and processing units in conventional von Neumann machines does not ...

Subject

Memristor

Computer science

Artificial neural network

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!