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Roadmap to neuromorphic computing with emerging technologies.

Authors :
Mehonic, Adnan
Ielmini, Daniele
Roy, Kaushik
Mutlu, Onur
Kvatinsky, Shahar
Serrano-Gotarredona, Teresa
Linares-Barranco, Bernabe
Spiga, Sabina
Savel'ev, Sergey
Balanov, Alexander G.
Chawla, Nitin
Desoli, Giuseppe
Malavena, Gerardo
Monzio Compagnoni, Christian
Wang, Zhongrui
Yang, J. Joshua
Sarwat, Syed Ghazi
Sebastian, Abu
Mikolajick, Thomas
Slesazeck, Stefan
Source :
APL Materials; Oct2024, Vol. 12 Issue 10, p1-59, 59p
Publication Year :
2024

Abstract

The article explores the roadmap to neuromorphic computing with a focus on emerging technologies, challenges, and potential solutions in the field. It discusses the significance of materials engineering, various approaches to neuromorphic research, and the importance of balancing performance with sustainability. The text also delves into the potential of 2D-LMs in mimicking synapses and neurons in artificial neural networks, highlighting the stable resistive switching observed in certain materials. Efforts are ongoing to address challenges and further advance the use of 2D-LMs in neuromorphic computing, offering promising solutions to computational challenges faced by traditional digital computers. [Extracted from the article]

Details

Language :
English
ISSN :
2166532X
Volume :
12
Issue :
10
Database :
Complementary Index
Journal :
APL Materials
Publication Type :
Academic Journal
Accession number :
180632881
Full Text :
https://doi.org/10.1063/5.0179424