Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mohammad T. Sharbati"'
Autor:
Qingzhou Wan, Marco Rasetto, Mohammad T. Sharbati, John R. Erickson, Sridhar Reddy Velagala, Matthew T. Reilly, Yiyang Li, Ryad Benosman, Feng Xiong
Publikováno v:
Advanced Intelligent Systems, Vol 3, Iss 9, Pp n/a-n/a (2021)
Neuromorphic computing has the great potential to enable faster and more energy‐efficient computing by overcoming the von Neumann bottleneck. However, most emerging nonvolatile memory (NVM)‐based artificial synapses suffer from insufficient preci
Externí odkaz:
https://doaj.org/article/3a8cbac84ba24e5693c5e042951e93d8
Autor:
Qingzhou Wan, Peng Zhang, Qiming Shao, Mohammad T. Sharbati, John R. Erickson, Kang L. Wang, Feng Xiong
Publikováno v:
APL Materials, Vol 7, Iss 10, Pp 101107-101107-8 (2019)
Neuromorphic computing has recently emerged as a promising paradigm to overcome the von-Neumann bottleneck and enable orders of magnitude improvement in bandwidth and energy efficiency. However, existing complementary metal-oxide-semiconductor (CMOS)
Externí odkaz:
https://doaj.org/article/519c4a18ef8548e9a9c19651a478fb89