Roadmap to Neuromorphic Computing with Emerging Technologies

作者：Adnan Mehonić, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano‐Gotarredona, B. Linares-Barranco, Sabina Spiga, Sergey Savel’ev, A. G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed, Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, B. Diény, Tuo-Hung, Hou, Akhil Varri, Frank Brückerhoff‐Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastián Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio R. J. Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser · 发表于：arXiv (Cornell University) · 年份：2024 · DOI：10.48550/arxiv.2407.02353 · 被引用次数：3 · 研究领域：Advanced Memory and Neural Computing、Ferroelectric and Negative Capacitance Devices、Quantum Computing Algorithms and Architecture

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.