Results 1 to 10 of about 118,830,318 (300)

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems
Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approaches face critical limitations. End‐to‐end models require task‐specific retraining and exhibit limited generalization, while pre‐trained models ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
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Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing

Nature Communications
Neuromorphic systems offer energy-efficient solutions for temporal signal processing by emulating the dynamics and heterogeneity of biological neural circuits. However, conventional approaches face challenges in adaptive regulation and in capturing multi-
Licheng Zhang, Teng Zhang, Pek Jun Tiw, Xulei Wu, Yuqi Su, Yuchao Yang   +5 more
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Organic-inorganic hybrid piezotronic bipolar junction transistor for pressure sensing

Microsystems & Nanoengineering
With the rapid development of the Internet of Things (IoTs), wearable sensors are playing an increasingly important role in daily monitoring of personal health and wellness.
Emad Iranmanesh, Zihao Liang, Weiwei Li, Congwei Liao, Shunyu Jin, Chuan Liu, Kai Wang, Shengdong Zhang, Charalampos Doumanidis, Gehan A. J. Amaratunga, Hang Zhou   +10 more
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Exploiting drain-erase scheme in ferroelectric FETs for logic-in-memory

Neuromorphic Computing and Engineering
The conventional computing platforms based on von-Neumann architecture are highly space- and energy-intensive while handling the emerging applications such as AI, ML, and big data. To overcome the von Neumann bottleneck, compact and light-weight logic-in-
Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay   +2 more
doaj   +1 more source

MRAM-Based Analog Computing-In-Memory Macro With Reconfigurable In-Memory Reference ADC

IEEE Access
A compact $64\times 64$ magnetic RAM (MRAM)-based analog computing-in-memory (ACIM) macro is presented, co-optimizing in-memory techniques to overcome the inherently small read margin of MRAM-based ACIM.
Kyung Min Lee, Munhyeon Kim, Nameun Kang, Inhwan Lee, Jehun Lee, Joon Hwang, Jong-Ho Lee, Jae-Joon Kim   +7 more
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Sub-femto-Joule energy consumption memory device based on van der Waals heterostructure for in-memory computing

Chip, 2022
In-memory computing has carried out calculations in situ within each memory unit and its main power consumption comes from data writing and erasing. Further improvements in the energy efficiency of in-memory computing require memory devices with sub ...
Zi-Jia Su, Zi-Hao Xuan, Jing Liu, Yi Kang, Chun-Sen Liu, Cheng-Jie Zuo   +5 more
doaj   +1 more source

Convolutional Echo‐State Network with Random Memristors for Spatiotemporal Signal Classification

Advanced Intelligent Systems, 2022
The unprecedented development of Internet of Things results in the explosion of spatiotemporal signals generated by smart edge devices, leading to a surge of interest in real‐time learning of such data.
Shaocong Wang, Hegan Chen, Woyu Zhang, Yi Li, Dingchen Wang, Shuhui Shi, Yaping Zhao, Kam Chi Loong, Xi Chen, Yujiao Dong, Yi Zhang, Yang Jiang, Chaudhry Furqan, Jia Chen, Qing Wang, Xiaoxin Xu, Guangyi Wang, Hongyu Yu, Dashan Shang, Zhongrui Wang   +19 more
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New-Generation Ferroelectric AlScN Materials

Nano-Micro Letters
Highlights Ferroelectricity and domain dynamics of emerging ferroelectric AlScN films were discussed. The performance optimization of ferroelectric AlScN films grown by different deposition techniques was comprehensively analyzed.
Yalong Zhang, Qiuxiang Zhu, Bobo Tian, Chungang Duan   +3 more
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Flash Memory Array for Efficient Implementation of Deep Neural Networks

Advanced Intelligent Systems, 2021
The advancement of artificial intelligence applications is promoted by developing deep neural networks (DNNs) with increasing sizes and putting forward higher computing power requirements of the processing devices.
Runze Han, Yachen Xiang, Peng Huang, Yihao Shan, Xiaoyan Liu, Jinfeng Kang   +5 more
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Matrix Mapping on Crossbar Memory Arrays with Resistive Interconnects and Its Use in In-Memory Compression of Biosignals

Micromachines, 2019
Recent advances in nanoscale resistive memory devices offer promising opportunities for in-memory computing with their capability of simultaneous information storage and processing.
Yoon Kyeung Lee, Jeong Woo Jeon, Eui-Sang Park, Chanyoung Yoo, Woohyun Kim, Manick Ha, Cheol Seong Hwang   +6 more
doaj   +1 more source