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Challenges hindering memristive neuromorphic hardware from going mainstream.
Nature Communications ( IF 16.6 ) Pub Date : 2018-12-10 , DOI: 10.1038/s41467-018-07565-4 Gina C. Adam , Ali Khiat , Themis Prodromakis
Nature Communications ( IF 16.6 ) Pub Date : 2018-12-10 , DOI: 10.1038/s41467-018-07565-4 Gina C. Adam , Ali Khiat , Themis Prodromakis
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.
中文翻译:
阻碍忆阻性神经形态硬件成为主流的挑战。
忆阻器件由于其固有的低电压操作,多位存储和具有成本效益的可制造性而在过去十年中引起了广泛的研究。但是,一些突出的性能和可制造性挑战阻止了基于氧化还原的忆阻矩阵在业界的广泛采用。在这里,我们从关键指标的角度讨论了这些挑战,并提出了实现竞争性基于忆阻剂的神经形态加工系统的路线图。
更新日期:2018-12-10
中文翻译:
阻碍忆阻性神经形态硬件成为主流的挑战。
忆阻器件由于其固有的低电压操作,多位存储和具有成本效益的可制造性而在过去十年中引起了广泛的研究。但是,一些突出的性能和可制造性挑战阻止了基于氧化还原的忆阻矩阵在业界的广泛采用。在这里,我们从关键指标的角度讨论了这些挑战,并提出了实现竞争性基于忆阻剂的神经形态加工系统的路线图。