Results 271 to 280 of about 1,900,337 (342)

Recent Advances in Transistor‐Based Artificial Synapses

Advanced Functional Materials, 2019
Simulating biological synapses with electronic devices is a re‐emerging field of research. It is widely recognized as the first step in hardware building brain‐like computers and artificial intelligent systems.
Shilei Dai, Yiwei Zhao, Yan Wang, Junyao Zhang, Lu Fang, Shu Jin, Yinlin Shao, Jia Huang   +7 more
semanticscholar   +3 more sources

Quantum Artificial Synapses

Advanced Quantum Technologies, 2021
Abstract Neuromorphic in‐memory computing systems, comprising artificial synapses and neurons, can overcome the energy inefficiency and throughput limitation of today's von Neumann computing architecture. Recently, powered by the unique properties of quantum materials, for example, high mobility, outstanding sensitivity, and strong ...
You Meng, Sen Po Yip, Wei Wang, Chuntai Liu, Johnny C. Ho   +4 more
openaire   +1 more source

Photothermally Activated Artificial Neuromorphic Synapses

Nano Letters, 2023
Biological nervous systems rely on the coordination of billions of neurons with complex, dynamic connectivity to enable the ability to process information and form memories. In turn, artificial intelligence and neuromorphic computing platforms have sought to mimic biological cognition through software-based neural networks and hardware demonstrations ...
Brian W. Blankenship, Runxuan Li, Ruihan Guo, Naichen Zhao, Jaeho Shin, Rundi Yang, Seung Hwan Ko, Junqiao Wu, Yoonsoo Rho, Costas Grigoropoulos   +9 more
openaire   +2 more sources

Multiferroic antiferromagnetic artificial synapse

Journal of Applied Physics, 2022
Artificial intelligence frameworks utilizing unsupervised learning techniques can avoid the bottleneck of labeled training data required in supervised machine learning systems, but the programming time of these systems is inherently limited by their hardware implementations.
John Nance, Kawsher A. Roxy, Sanjukta Bhanja, Greg P. Carman   +3 more
openaire   +1 more source

Solution-processed electronics for artificial synapses

Materials Horizons, 2021
Solution-processed artificial synapses are expected to develop the synaptic electronics towards flexible and highly integrated three-dimensional neural networks to break through the von Neumann computing architecture in the post-Moore era.
Kuakua Lu, Xiaomeng Li, Qingqing Sun, Xinchang Pang, Jinzhou Chen, Takeo Minari, Xuying Liu, Yanlin Song   +7 more
openaire   +2 more sources

Multifunctional optoelectronic memristor based on CeO2/MoS2 heterojunction for advanced artificial synapses and bionic visual system with nociceptive sensing

Nano Energy
Yonghui Lin, Wenxiao Wang, Rongliang Li, Jeonghyun Kim, Chunwei Zhang, Hao Kan, Yang Li   +6 more
semanticscholar   +3 more sources

Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System

Small, 2021
AbstractThe computing based on artificial neuron network is expected to break through the von Neumann bottleneck of traditional computer, and to greatly improve the computing efficiency, displaying a broad prospect in the application of artificial visual system.
Boyuan Mu, Liangchao Guo, Junhong Liao, Peng Xie, Guanglong Ding, Ziyu Lv, Ye Zhou, Su‐Ting Han, Yan Yan   +8 more
openaire   +2 more sources

Artificial synapses based on nanomaterials

Nanotechnology, 2018
Artificial synapses emulate biological synaptic signals in neuromorphic systems to attain brain-like computation and autonomous learning behaviors in non-von-Neumann systems. Several classes of materials have been applied to this field to achieve numerous functionalities of biological synapses.
Yihang Chen, Haiyang Yu, Jiangdong Gong, Mingxue Ma, Hong Han, Huanhuan Wei, Wentao Xu   +6 more
openaire   +2 more sources

All-Optically Controlled Artificial Synapses Based on Light-Induced Adsorption and Desorption for Neuromorphic Vision.

ACS Applied Materials and Interfaces, 2023
Artificial synapses with the capability of optical sensing and synaptic functions are fundamental components to construct neuromorphic visual systems.
Jiran Liang, Xuan Yu, Jie Qiu, Ming Wang, Chuantong Cheng, Beiju Huang, He Zhang, Run Chen, Weihua Pei, Hongda Chen   +9 more
semanticscholar   +1 more source

Organometal Halide Perovskite Artificial Synapses

Advanced Materials, 2016
Organometal halide perovskite synaptic devices are fabricated; they emulate important working principles of a biological synapse, including excitatory postsynaptic current, paired-pulse facilitation, short-term plasticity, long-term plasticity, and spike-timing dependent plasticity. These properties originate from possible ion migration in the ion-rich
Xu, W, Cho, H, Kim, YH, Kim, YT, Wolf, C, Park, CG, Lee, TW   +6 more
openaire   +3 more sources