Results 61 to 70 of about 14,261 (179)

Light-stimulated low-power artificial synapse based on a single GaN nanowire for neuromorphic computing

Photonics Research, 2023
The fast development of the brain-inspired neuromorphic computing system has ignited an urgent demand for artificial synapses with low power consumption. In this work, it is the first time a light-stimulated low-power synaptic device based on a single GaN nanowire has been demonstrated successfully.
Min Zhou, Yukun Zhao, Xiushuo Gu, Qianyi Zhang, Jianya Zhang, Min Jiang, Shulong Lu   +6 more
openaire   +1 more source

Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics

Nano-Micro Letters
Highlights The review emphasizes the switching mechanisms of organic neuromorphic materials. In addition to these switching mechanisms, the capabilities of organic neuromorphic materials in tunable, conformable, and low-power applications, e.g ...
Felix L. Hoch, Qishen Wang, Kian-Guan Lim, Desmond K. Loke   +3 more
doaj   +1 more source

A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing

Nature Communications, 2023
Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts.
Han Xu, Dashan Shang, Qing Luo, Junjie An, Yue Li, Shuyu Wu, Zhihong Yao, Woyu Zhang, Xiaoxin Xu, Chunmeng Dou, Hao Jiang, Liyang Pan, Xumeng Zhang, Ming Wang, Zhongrui Wang, Jianshi Tang, Qi Liu, Ming Liu   +17 more
doaj   +1 more source

Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout

, 2017
Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine intelligent approach for heart-rate estimation from electrocardiogram (ECG) data collected using wearable devices.
Adiraju, Prathyusha, Catthoor, Francky, Das, Anup, Dutt, Nikil, Groenendaal, Willemijn, Krichmar, Jeffrey L., Pradhapan, Paruthi, Rajan, Raj Thilak, Schaafsma, Siebren, Van Hoof, Chris   +9 more
core   +1 more source

Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions

Advanced Electronic Materials
Modern applications demand immense data processing and computational power, yet conventional architectures, constrained by the Von Neumann bottleneck and data presentation, struggle to meet these requirements.
Nada AbuHamra, Muhammad Umair Khan, Eman Hassan, Mahmoud Al Qutayri, Baker Mohammad   +4 more
doaj   +1 more source

Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware

, 2016
In recent years the field of neuromorphic low-power systems that consume orders of magnitude less power gained significant momentum. However, their wider use is still hindered by the lack of algorithms that can harness the strengths of such architectures.
Cassidy, Andrew, Diehl, Peter U, IEEE, Neftci, Emre, Pedroni, Bruno U, Zarrella, Guido   +5 more
core   +1 more source

Artificial Perception Built on Memristive System: Visual, Auditory, and Tactile Sensations

Advanced Intelligent Systems, 2020
The widespread implementation and rapid development of autonomous systems pose stringent performance requirements on emerging sensory systems. In addition to the basic sensing requirements, leading sensory systems are required to process data and extract
Xinglong Ji, Xinyu Zhao, Mei Chee Tan, Rong Zhao   +3 more
doaj   +1 more source

A Survey of Memristive Threshold Logic Circuits

, 2016
In this paper, we review the different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of flow of neurotransmitters in the biological brain.
James, Alex Pappachen, Jayadevi, Deepthi Anirudhan, Maan, Akshay Kumar   +2 more
core   +1 more source

Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices

Small Structures
The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption and excellent efficiency.
Muhammad Hamza Pervez, Ehsan Elahi, Muhammad Asghar Khan, Muhammad Nasim, Muhammad Asim, Arslan Rehmat, Malik Abdul Rehman, Mohammed A. Assiri, Shania Rehman, Jonghwa Eom, Muhammad Farooq Khan   +10 more
doaj   +1 more source

Low-dimensional optoelectronic synaptic devices for neuromorphic vision sensors

Materials Futures, 2023
Neuromorphic systems represent a promising avenue for the development of the next generation of artificial intelligence hardware. Machine vision, one of the cores in artificial intelligence, requires system-level support with low power consumption, low ...
Chengzhai Lv, Fanqing Zhang, Chunyang Li, Zhongyi Li, Jing Zhao   +4 more
doaj   +1 more source