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Challenges hindering memristive neuromorphic hardware from going mainstream.
Adam, Gina C; Khiat, Ali; Prodromakis, Themis.
Afiliação
  • Adam GC; Department of Electrical and Computer Engineering, George Washington University, Washington, DC, 20052, USA.
  • Khiat A; Electronic Materials & Devices, Zepler Institute for Photonics and Nanoelectronics, University of Southampton, Southampton, SO17 1BJ, UK.
  • Prodromakis T; Electronic Materials & Devices, Zepler Institute for Photonics and Nanoelectronics, University of Southampton, Southampton, SO17 1BJ, UK. t.prodromakis@soton.ac.uk.
Nat Commun ; 9(1): 5267, 2018 12 10.
Article em En | MEDLINE | ID: mdl-30531798
Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article