Roadmap on emerging hardware and technology for machine learning-Reference-Cited by-同舟云学术

Roadmap on emerging hardware and technology for machine learning

Published:2020-10-20 Issue:1 Volume:32 Page:012002
ISSN:0957-4484
Container-title:Nanotechnology
language:
Short-container-title:Nanotechnology

Author:

Berggren Karl^ORCID,Xia Qiangfei^ORCID,Likharev Konstantin K,Strukov Dmitri B,Jiang Hao,Mikolajick Thomas^ORCID,Querlioz Damien,Salinga Martin^ORCID,Erickson John R,Pi Shuang,Xiong Feng,Lin Peng,Li Can^ORCID,Chen Yu,Xiong Shisheng,Hoskins Brian D,Daniels Matthew W^ORCID,Madhavan Advait,Liddle James A,McClelland Jabez J,Yang Yuchao^ORCID,Rupp Jennifer,Nonnenmann Stephen S,Cheng Kwang-Ting^ORCID,Gong Nanbo^ORCID,Lastras-Montaño Miguel Angel,Talin A Alec,Salleo Alberto,Shastri Bhavin J^ORCID,de Lima Thomas Ferreira,Prucnal Paul,Tait Alexander N,Shen Yichen,Meng Huaiyu,Roques-Carmes Charles,Cheng Zengguang^ORCID,Bhaskaran Harish,Jariwala Deep^ORCID,Wang Han,Shainline Jeffrey M^ORCID,Segall Kenneth,Yang J Joshua^ORCID,Roy Kaushik,Datta Suman,Raychowdhury Arijit

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,General Chemistry,Bioengineering

Link

https://iopscience.iop.org/article/10.1088/1361-6528/aba70f/pdf

Reference162 articles.

1. Big data needs a hardware revolution

2. Memristive crossbar arrays for brain-inspired computing

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