Roadmap to Neuromorphic Computing with Emerging Technologies
Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar, Kvatinsky, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco, Sabina, Spiga, Sergey Savelev, Alexander G Balanov, Nitin Chawla, Giuseppe Desoli,, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang
TL;DR
This paper provides a comprehensive roadmap for neuromorphic computing, discussing current challenges, existing and emerging technologies, material issues, and future research directions to advance the field.
Contribution
It offers a structured overview of the state-of-the-art and future pathways for neuromorphic computing with emerging technologies.
Findings
Identification of key material challenges
Analysis of mature and emerging technologies
Outline of next steps for technological advancement
Abstract
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently utilized technologies, providing an overview of emerging technologies, addressing material challenges, exploring novel computing concepts, and finally examining the maturity level of emerging technologies while determining the next essential steps for their advancement.
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Quantum Computing Algorithms and Architecture