Results 231 to 240 of about 10,988 (267)

Neuromorphic reservoir computing

Chaos: An Interdisciplinary Journal of Nonlinear Science
Reservoir computing has emerged as a promising machine-learning approach to prediction and control of complex nonlinear dynamical systems, rendering it important to explore schemes of physical realization. We articulate two frameworks of physical reservoir computing based on the electrophysiological mechanisms in mammalian neuronal networks.
Shirin Panahi, Zheng-Meng Zhai, Mulugeta Haile, Ying-Cheng Lai   +3 more
openaire   +2 more sources

Neuromorphic semiconductor memory

2015 International 3D Systems Integration Conference (3DIC), 2015
Microprocessors designed with von Neumann architecture are hitting the power and performance limits as silicon CMOS continues to scale the critical dimensions of the circuit components towards single digit nanometer size limit. Multi-core processor, parallel processing without increasing operating frequency of the cores, was introduced in the early ...
openaire   +1 more source

Neuromorphic computing at scale

Nature
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints.
Dhireesha Kudithipudi, Catherine Schuman, Craig M. Vineyard, Tej Pandit, Cory Merkel, Rajkumar Kubendran, James B. Aimone, Garrick Orchard, Christian Mayr, Ryad Benosman, Joe Hays, Cliff Young, Chiara Bartolozzi, Amitava Majumdar, Suma George Cardwell, Melika Payvand, Sonia Buckley, Shruti Kulkarni, Hector A. Gonzalez, Gert Cauwenberghs, Chetan Singh Thakur, Anand Subramoney, Steve Furber   +22 more
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Nanomaterials for Flexible Neuromorphics

Chemical Reviews
The quest to imbue machines with intelligence akin to that of humans, through the development of adaptable neuromorphic devices and the creation of artificial neural systems, has long stood as a pivotal goal in both scientific inquiry and industrial advancement.
Guanglong Ding, Hang Li, JiYu Zhao, Kui Zhou, Yongbiao Zhai, Ziyu Lv, Meng Zhang, Yan Yan, Su-Ting Han, Ye Zhou   +9 more
openaire   +2 more sources

Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing

Nano-Micro Letters, 2022
Kootak Hong, Soo Young Kim, Ki Chang Kwon   +2 more
exaly  

Neuromorphic sensory computing

Science China Information Sciences, 2021
Tianqing Wan, Sijie Ma, Fuyou Liao, Lingwei Fan, Yang Chai   +4 more
openaire   +1 more source

Recent Progress on Emerging Transistor‐Based Neuromorphic Devices

Advanced Intelligent Systems, 2021
Qing Wan, , Rui Liu
exaly  

Bioinspired interactive neuromorphic devices

Materials Today, 2022
Qijun Sun, Shanshan Qin, Jinran Yu
exaly  

Advanced Optoelectronic Devices for Neuromorphic Analog Based on Low‐Dimensional Semiconductors

Advanced Functional Materials, 2023
Zhongming Wei
exaly  

Progress of Materials and Devices for Neuromorphic Vision Sensors

Nano-Micro Letters, 2022
Sung Woon Cho, Sung Kyu Park
exaly