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Piezotronic Graphene Artificial Sensory Synapse
Advanced Functional Materials, 2019AbstractThe human somatosensory system, consisting of receptors, transmitters, and synapses, functions as the medium for external mechanical stimuli perception and sensing signal delivery/processing. Developing sophisticated artificial sensory synapses with a high performance, uncomplicated fabrication process, and low power consumption is still a ...
Youhui Chen +11 more
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An Oxide Schottky Junction Artificial Optoelectronic Synapse
ACS Nano, 2019The rapid development of artificial intelligence techniques and future advanced robot systems sparks emergent demand on the accurate perception and understanding of the external environments via visual sensing systems that can co-locate the self-adaptive detecting, processing, and memorizing of optical signals. In this contribution, a simple indium-tin
Shuang Gao +9 more
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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 +4 more
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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 +4 more
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Photothermally Activated Artificial Neuromorphic Synapses
Nano Letters, 2023Biological 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 +9 more
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Multiferroic antiferromagnetic artificial synapse
Journal of Applied Physics, 2022Artificial 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 +3 more
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Solution-processed electronics for artificial synapses
Materials Horizons, 2021Solution-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 +7 more
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Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System
Small, 2021AbstractThe 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 +8 more
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Artificial synapses based on nanomaterials
Nanotechnology, 2018Artificial 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 +6 more
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