Results 1 to 10 of about 19,662,716 (202)

Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System

Advanced Intelligent Systems, 2021
Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics ...
Sung Woon Cho, Sung Min Kwon, Yong-Hoon Kim, Sung Kyu Park   +3 more
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Proposition of Adaptive Read Bias: A Solution to Overcome Power and Scaling Limitations in Ferroelectric‐Based Neuromorphic System [PDF]

Advanced Science
Hardware neuromorphic systems are crucial for the energy‐efficient processing of massive amounts of data. Among various candidates, hafnium oxide ferroelectric tunnel junctions (FTJs) are highly promising for artificial synaptic devices.
Ryun‐Han Koo, Wonjun Shin, Seungwhan Kim, Jiseong Im, Sung‐Ho Park, Jong Hyun Ko, Dongseok Kwon, Jae‐Joon Kim, Daewoong Kwon, Jong‐Ho Lee   +9 more
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A versatile neuromorphic system based on simple neuron model

AIP Advances, 2019
Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected architectures makes it challenging to build a large-scale neuromorphic system.
C. M. Zhang, G. C. Qiao, S. G. Hu, J. J. Wang, Z. W. Liu, Y. A. Liu, Q. Yu, Y. Liu   +7 more
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Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing [PDF]

Nano-Micro Letters
Hightlights Task-oriented perspective on neuromorphic memristors for artificial intelligence computing. From material systems and device structures to applications, flexibility, and system integration.
Jianhui Wang, Qingxin Chen, Jinhao Zhang, Jialin Meng, Tianyu Wang   +4 more
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A comprehensive review of advanced trends: from artificial synapses to neuromorphic systems with consideration of non-ideal effects

Frontiers in Neuroscience
A neuromorphic system is composed of hardware-based artificial neurons and synaptic devices, designed to improve the efficiency of neural computations inspired by energy-efficient and parallel operations of the biological nervous system.
Kyuree Kim, Min Suk Song, Hwiho Hwang, Sungmin Hwang, Hyungjin Kim   +4 more
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Recent advances in neuromorphic transistors for artificial perception applications

Science and Technology of Advanced Materials, 2023
Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning.
Wei Sheng Wang, Li Qiang Zhu
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A Single Chip SPAD Based Vision Sensing System With Integrated Memristive Spiking Neuromorphic Processing

IEEE Access, 2023
This paper presents a new scalable $8\times8$ single photon avalanche diode (SPAD) based vision sensor with integrated spiking neuromorphic system on a single chip.
Mst Shamim Ara Shawkat, Md Musabbir Adnan, Rocco D. Febbo, John J. Murray, Garrett S. Rose   +4 more
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Emerging memristive neurons for neuromorphic computing and sensing

Science and Technology of Advanced Materials, 2023
Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption.
Zhiyuan Li, Wei Tang, Beining Zhang, Rui Yang, Xiangshui Miao   +4 more
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A 3D-printed neuromorphic humanoid hand for grasping unknown objects

iScience, 2022
Summary: Compared with conventional von Neumann’s architecture-based processors, neuromorphic systems provide energy-saving in-memory computing. We present here a 3D neuromorphic humanoid hand designed for providing an artificial unconscious response ...
Chao Bao, Tae-Ho Kim, Amirhossein Hassanpoor Kalhori, Woo Soo Kim   +3 more
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Integration of neuromorphic AI in event-driven distributed digitized systems: Concepts and research directions

Frontiers in Neuroscience, 2023
Increasing complexity and data-generation rates in cyber-physical systems and the industrial Internet of things are calling for a corresponding increase in AI capabilities at the resource-constrained edges of the Internet.
Mattias Nilsson, Olov Schelén, Anders Lindgren, Anders Lindgren, Ulf Bodin, Cristina Paniagua, Jerker Delsing, Fredrik Sandin   +7 more
doaj   +1 more source