Results 241 to 250 of about 5,234,806 (327)

Modeling macroscopic brain dynamics with brain-inspired computing architecture. [PDF]

Nat Commun
Zheng Z, Wei J, Xu Y, Li C, Lu T, Guo Q, Ji X, Guo H, Wang G, Deng L.   +9 more
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Ultrahigh-precision analog computing using memory-switching geometric ratio of transistors. [PDF]

Sci Adv
Yangdong XJ, Wang C, Zhao Y, Wang ZC, Yang Z, Liu Z, Yu W, Zeng Z, Wang S, Wei W, Shen Y, Kong D, Ding S, Wang X, Pan C, Liang SJ, Miao F.   +16 more
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Vector analog computing via on-demand metasurface dispersive polarization transformation. [PDF]

Sci Adv
Yang H, Xu J, Peng M, He H, Jiang Y, Yu D, Jin R, Gu Y, Hu Y, Duan H, Jing H.   +10 more
europepmc   +1 more source

An overhead-reduced, efficient, fully analog neural-network computing hardware. [PDF]

Sci Adv
Ye J, Wang W, Shi C, Cui X, Qu W, Lin P, Yu X, Cheng R, Wu H, Chen B.   +9 more
europepmc   +1 more source

Advances of Emerging Memristors for In-Memory Computing Applications. [PDF]

Research (Wash D C)
Chen Q, Lu L, Meng J, Xu M, Wang T.
europepmc   +1 more source

A parallel and efficient transformer deep learning network for continuous estimation of hand kinematics from electromyographic signals. [PDF]

Sci Rep
Lin C, Zhang X, Zhao C.
europepmc   +1 more source

Mixed-mode in-memory computing: towards high-performance logic processing in a memristive crossbar array. [PDF]

Commun Eng
Du N, Polian I, Bengel C, Li K, Chen Z, Zhao X, Hübner U, Chen LW, Liu F, Di Ventra M, Menzel S, Krüger H.   +11 more
europepmc   +1 more source

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Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

Nature Nanotechnology, 2021
The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large volumes of analogue data.
Cong Wang, S. Liang, Chen-Yu Wang, Zaizheng Yang, Yingmeng Ge, Chen Pan, X. Shen, Wei Wei, Yichen Zhao, Zaichen Zhang, Bin Cheng, Chuan Zhang, F. Miao   +12 more
semanticscholar   +1 more source

Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments

Operational Research, 2021
On one hand, large-scale ranking and selection (R&S) problems require a large amount of computation. On the other hand, parallel computing environments that provide a large capacity for computation are becoming prevalent today, and they are accessible by
Ying Zhong, L. Hong
semanticscholar   +1 more source

Speeding Up Paulson's Procedure for Large-Scale Problems Using Parallel Computing

INFORMS journal on computing, 2021
With the rapid development of computing technology, using parallel computing to solve large-scale ranking-and-selection (R&S) problems has emerged as an important research topic. However, direct implementation of traditionally fully sequential procedures
Ying Zhong, Shaoxuan Liu, Jun Luo, L. Hong   +3 more
semanticscholar   +1 more source