Results 121 to 130 of about 2,883,478 (184)

High‐Precision Multibit Opto‐Electronic Synapses Based on ReS2/h‐BN/Graphene Heterostructure for Energy‐Efficient and High‐Accuracy Neuromorphic Computing

Advanced Functional Materials
Neuromorphic computing integrates sensing, memory, and computation to surpass the von Neumann bottleneck. Opto‐electronic synapses, capable of handling both optical and electrical signals, closely emulate biological synapses and enable advanced ...
Zheyu Yang, Shida Huo, Zhe Zhang, Fanying Meng, Baiyan Liu, Yue Wang, Yuexuan Ma, Zhiyuan Wang, Junxi Xu, Qijia Tian, Yaohui Wang, Ying-Xing Ding, Xiaodong Hu, Yuan Xie, Shuangqing Fan, Caofeng Pan, E. Wu   +16 more
semanticscholar   +1 more source

Relaxor Antiferroelectric Dynamics for Neuromorphic Computing

Advances in Materials
Relaxor antiferroelectric (AFE) materials display a gradual polarization response and high energy storage density with polarization slowly reverting after removing an external field.
Dongliang Yang, Yinan Lin, Weifan Meng, Zhongyi Wang, Huihan Li, Ce Li, Zirui Zhang, Qianyu Zhang, Junqi You, Jiarui Wang, Tianze Yu, Yutao Li, Weiting Miao, Weili Zhen, Fei Xue, Ruixiang Fei, Linfeng Sun   +16 more
semanticscholar   +1 more source

Ultrafast and Low-Power 2D Bi2O2Se Memristors for Neuromorphic Computing Applications.

Nano letters (Print), 2023
Memristors that emulate synaptic plasticity are building blocks for opening a new era of energy-efficient neuromorphic computing architecture, which will overcome the limitation of the von Neumann bottleneck.
Zilong Dong, Qilin Hua, Jianguo Xi, Yuanhong Shi, Tianci Huang, Xinhuan Dai, Jianan Niu, Bingjun Wang, Z. Wang, Weiguo Hu   +9 more
semanticscholar   +1 more source

Photonic neuromorphic computing

Emerging Topics in Artificial Intelligence (ETAI) 2021, 2021
Photonic integrated circuits allow for designing computing architectures which process optical signals in analogy to electronic integrated circuits. Therein electrical connections are replaced with photonic waveguides which guide light to desired locations on chip.
openaire   +1 more source

Flexible Neuromorphic Electronics for Wearable Near‐Sensor and In‐Sensor Computing Systems

Advances in Materials
Flexible neuromorphic architectures that emulate biological cognitive systems hold great promise for smart wearable electronics. To realize neuro‐inspired sensing and computing electronics, artificial sensory neurons that detect and process external ...
Hyowon Jang, Jihwan Lee, Chang-Jae Beak, S. Biswas, Sin‐Hyung Lee, Hyeok Kim   +5 more
semanticscholar   +1 more source

Neuromorphic Vision Computing

2023
Neuromorphic computing, referred to as brain-inspired computing for big-data processing and accelerating artificial intelligence (AI) computation, has received a significant boost from the emergence of memristors and associated computing algorithms over the past decade.
openaire   +1 more source

Roadmap to Neuromorphic Computing with Emerging Technologies

APL Materials
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently utilized technologies, providing an overview of emerging technologies ...
A. Mehonic, D. Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, T. Serrano‐Gotarredona, B. Linares‐Barranco, Sabina Spiga, Sergey Savelev, A. G. Balanov, N. Chawla, G. Desoli, G. Malavena, C. M. Compagnoni, Zhongrui Wang, J. Yang, G. S. Syed, Abu Sebastian, T. Mikolajick, Beatriz Noheda, S. Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Bruckerhoff-Pluckelmann, Wolfram H. P. Pernice, Xixiang Zhang, S. Pazos, Mario Lanza, S. Wiefels, Regina Dittmann, Wing H. Ng, M. Buckwell, Horatio R. J. Cox, D. Mannion, Anthony J. Kenyon, Ying Lu, Yuch-Chi Yang, D. Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, P. Mannocci, Yimao Cai, Zhong Sun, G. Pedretti, J. Strachan, Dmitri B. Strukov, M. L. Gallo, S. Ambrogio, I. Valov, Rainer Waser   +51 more
semanticscholar   +1 more source

Set/Reset Bilaterally Controllable Resistance Switching Ga‐doped Ge2Sb2Te5 Long‐Term Electronic Synapses for Neuromorphic Computing

Advanced Functional Materials, 2023
Long‐term plasticity of bio‐synapses modulates the stable synaptic transmission that is quite related to the encoding of information and its emulation using electronic hardware is one of important targets for neuromorphic computing. Ge2Sb2Te5 (GST) based
Qiang Wang, Ren Luo, Yankun Wang, Wencheng Fang, Luyue Jiang, Yangyang Liu, Ruobing Wang, L. Dai, Jinyan Zhao, J. Bi, Zenghui Liu, Libo Zhao, Zhuangde Jiang, Zhitang Song, J. Schwarzkopf, T. Schroeder, Shengli Wu, Z. Ye, Wei Ren, Sannian Song, Gang Niu   +20 more
semanticscholar   +1 more source

Reconfigurable neuromorphic computation in biochemical systems

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Implementing application-specific computation and control tasks within a biochemical system has been an important pursuit in synthetic biology. Most synthetic designs to date have focused on realizing systems of fixed functions using specifically engineered components, thus lacking flexibility to adapt to uncertain and dynamically-changing environments.
Chiang, Hui-Ju, Jiang, Jie-Hong, Fages, François   +2 more
openaire   +3 more sources

Enhancing plasticity in optoelectronic artificial synapses: A pathway to efficient neuromorphic computing

Applied Physics Letters
The continuous growth in artificial intelligence and high-performance computing has necessitated the development of efficient optoelectronic artificial synapses crucial for neuromorphic computing (NC). Ga2O3 is an emerging wide-bandgap semiconductor with
Jiahao Yuan, Chao Wu, Shunli Wang, Fengmin Wu, C. Tan, D. Guo   +5 more
semanticscholar   +1 more source