Results 11 to 20 of about 1,883,087 (288)
Transistor-Based Synaptic Devices for Neuromorphic Computing
CrystalsCurrently, neuromorphic computing is regarded as the most efficient way to solve the von Neumann bottleneck. Transistor-based devices have been considered suitable for emulating synaptic functions in neuromorphic computing due to their synergistic ...
Wen Huang +4 more
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Manufacturing of graphene based synaptic devices for optoelectronic applications
International Journal of Extreme Manufacturing, 2023 Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions, which is promising for breaking the conventional von Neumann bottlenecks at hardware level. Artificial
Kui Zhou +10 more
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Investigation of Deep Spiking Neural Networks Utilizing Gated Schottky Diode as Synaptic Devices. [PDF]
Micromachines (Basel), 2022 Deep learning produces a remarkable performance in various applications such as image classification and speech recognition. However, state-of-the-art deep neural networks require a large number of weights and enormous computation power, which results in
Lee ST, Bae JH.
europepmc +2 more sources
Enhancing Long-Term Memory in Carbon-Nanotube-Based Optoelectronic Synaptic Devices for Neuromorphic Computing. [PDF]
Nanomaterials (Basel)This study investigates the impact of spin-coating speed on the performance of carbon nanotube (CNT)-based optoelectronic synaptic devices, focusing on their long-term memory properties.
Lee SH, Lee HJ, Jeon D, Kim HJ, Lee SN.
europepmc +2 more sources
Memristive Artificial Synapses for Neuromorphic Computing
Nano-Micro Letters, 2021 Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.
Wen Huang +8 more
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Magnetic skyrmion-based synaptic devices [PDF]
Nanotechnology, 2017 Abstract Magnetic skyrmions are promising candidates for next-generation information carriers, owing to their small size, topological stability, and ultralow depinning current density. A wide variety of skyrmionic device concepts and prototypes have recently been proposed, highlighting their potential applications.
Yangqi Huang +4 more
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Nanowire-based synaptic devices for neuromorphic computing
Materials Futures, 2023 The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing; therefore, neuromorphic computing has received a lot of interest in recent years.
Xue Chen +5 more
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Light-Emitting Artificial Synapses for Neuromorphic Computing
Research, 2022 As the key connecting points in the neuromorphic computing systems, synaptic devices have been investigated substantially in recent years. Developing optoelectronic synaptic devices with optical outputs is becoming attractive due to many benefits of ...
Chen Zhu +4 more
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Synaptic realizations based on memristive devices [PDF]
, 2020 In the past 10 years, neuromorphic computing has emerged as a novel approach to tackle the challenges posed by the end of Moore’s law. Memristive devices are very promising due to their unique properties.
Milo, Valerio +3 more
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Advanced Intelligent Systems, 2022 Flexible artificial synapses, which use flexible electronic devices to simulate biological synapses, are the cornerstone of brain‐like computers and artificial intelligence systems.
Xiangxiang Li +5 more
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