Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Zhu, Kehan"'
Autor:
Ain, Noor Ul, Khan, Bibimaryam, Zhu, Kehan, Ji, Wen, Tian, He, Yu, Xiaoxiao, Yi, Lin, Li, Duxin, Zhang, Zhenqing
Publikováno v:
In Carbohydrate Polymers 1 September 2024 339
Publikováno v:
In International Journal of Biological Macromolecules May 2024 266 Part 1
Publikováno v:
In Journal of Chromatography A 29 March 2024 1719
Autor:
Zhu, Kehan, Zhang, Zhiyi, Li, Guanqiang, Sun, Jiangcen, Gu, Tianyi, Ain, Noor Ul, Zhang, Xicheng, Li, Duxin
Publikováno v:
In International Journal of Biological Macromolecules February 2024 258 Part 1
Publikováno v:
In Chinese Journal of Catalysis December 2023 55:216-226
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Emerging non-volatile memory (NVM), or memristive, devices promise energy-efficient realization of deep learning, when efficiently integrated with mixed-signal integrated circuits on a CMOS substrate. Even though several algorithmic challenges need t
Externí odkaz:
http://arxiv.org/abs/1802.02342
Publikováno v:
In Pacific-Basin Finance Journal June 2021 67
Neuromorphic systems that densely integrate CMOS spiking neurons and nano-scale memristor synapses open a new avenue of brain-inspired computing. Existing silicon neurons have molded neural biophysical dynamics but are incompatible with memristor syn
Externí odkaz:
http://arxiv.org/abs/1506.01069
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol 5, no. 2, June 2015
A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density. Previous hybrid analog CMOS-memristor app
Externí odkaz:
http://arxiv.org/abs/1506.01072