Search Results - "Wang, ZhongRui"

Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing by Fuller, Elliot J, Keene, Scott T, Melianas, Armantas, Wang, Zhongrui, Agarwal, Sapan, Li, Yiyang, Tuchman, Yaakov, James, Conrad D, Marinella, Matthew J, Yang, J Joshua, Salleo, Alberto, Talin, A Alec

“…Neuromorphic computers could overcome efficiency bottlenecks inherent to conventional computing through parallel programming and readout of artificial neural…”
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Resistive switching materials for information processing by Wang, Zhongrui, Wu, Huaqiang, Burr, Geoffrey W., Hwang, Cheol Seong, Wang, Kang L., Xia, Qiangfei, Yang, J. Joshua

“…The rapid increase in information in the big-data era calls for changes to information-processing paradigms, which, in turn, demand new circuit-building blocks…”
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Bioinspired bio-voltage memristors by Fu, Tianda, Liu, Xiaomeng, Gao, Hongyan, Ward, Joy E., Liu, Xiaorong, Yin, Bing, Wang, Zhongrui, Zhuo, Ye, Walker, David J. F., Joshua Yang, J., Chen, Jianhan, Lovley, Derek R., Yao, Jun

“…Memristive devices are promising candidates to emulate biological computing. However, the typical switching voltages (0.2-2 V) in previously described devices…”
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Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning by Wu, Xiaosong, Wang, Shaocong, Huang, Wei, Dong, Yu, Wang, Zhongrui, Huang, Weiguo

“…In-sensor multi-task learning is not only the key merit of biological visions but also a primary goal of artificial-general-intelligence. However, traditional…”
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An artificial nociceptor based on a diffusive memristor by Yoon, Jung Ho, Wang, Zhongrui, Kim, Kyung Min, Wu, Huaqiang, Ravichandran, Vignesh, Xia, Qiangfei, Hwang, Cheol Seong, Yang, J. Joshua

“…A nociceptor is a critical and special receptor of a sensory neuron that is able to detect noxious stimulus and provide a rapid warning to the central nervous…”
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An artificial spiking afferent nerve based on Mott memristors for neurorobotics by Zhang, Xumeng, Zhuo, Ye, Luo, Qing, Wu, Zuheng, Midya, Rivu, Wang, Zhongrui, Song, Wenhao, Wang, Rui, Upadhyay, Navnidhi K., Fang, Yilin, Kiani, Fatemeh, Rao, Mingyi, Yang, Yang, Xia, Qiangfei, Liu, Qi, Liu, Ming, Yang, J. Joshua

“…Neuromorphic computing based on spikes offers great potential in highly efficient computing paradigms. Recently, several hardware implementations of spiking…”
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Threshold Switching of Ag or Cu in Dielectrics: Materials, Mechanism, and Applications by Wang, Zhongrui, Rao, Mingyi, Midya, Rivu, Joshi, Saumil, Jiang, Hao, Lin, Peng, Song, Wenhao, Asapu, Shiva, Zhuo, Ye, Li, Can, Wu, Huaqiang, Xia, Qiangfei, Yang, J. Joshua

“…Threshold switches with Ag or Cu active metal species are volatile memristors (also termed diffusive memristors) featuring spontaneous rupture of conduction…”
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Efficient and self-adaptive in-situ learning in multilayer memristor neural networks by Li, Can, Belkin, Daniel, Li, Yunning, Yan, Peng, Hu, Miao, Ge, Ning, Jiang, Hao, Montgomery, Eric, Lin, Peng, Wang, Zhongrui, Song, Wenhao, Strachan, John Paul, Barnell, Mark, Wu, Qing, Williams, R. Stanley, Yang, J. Joshua, Xia, Qiangfei

“…Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer…”
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Oxide‐Based Electrolyte‐Gated Transistors for Spatiotemporal Information Processing by Li, Yue, Lu, Jikai, Shang, Dashan, Liu, Qi, Wu, Shuyu, Wu, Zuheng, Zhang, Xumeng, Yang, Jianguo, Wang, Zhongrui, Lv, Hangbing, Liu, Ming

“…Spiking neural networks (SNNs) sharing large similarity with biological nervous systems are promising to process spatiotemporal information and can provide…”
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A novel true random number generator based on a stochastic diffusive memristor by Jiang, Hao, Belkin, Daniel, Savel’ev, Sergey E., Lin, Siyan, Wang, Zhongrui, Li, Yunning, Joshi, Saumil, Midya, Rivu, Li, Can, Rao, Mingyi, Barnell, Mark, Wu, Qing, Yang, J. Joshua, Xia, Qiangfei

“…The intrinsic variability of switching behavior in memristors has been a major obstacle to their adoption as the next generation of universal memory. On the…”
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Long short-term memory networks in memristor crossbar arrays by Li, Can, Wang, Zhongrui, Rao, Mingyi, Belkin, Daniel, Song, Wenhao, Jiang, Hao, Yan, Peng, Li, Yunning, Lin, Peng, Hu, Miao, Ge, Ning, Strachan, John Paul, Barnell, Mark, Wu, Qing, Williams, R. Stanley, Yang, J. Joshua, Xia, Qiangfei

“…Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units have led to major advances in artificial intelligence. However,…”
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Emerging Memory Devices for Neuromorphic Computing by Upadhyay, Navnidhi K., Jiang, Hao, Wang, Zhongrui, Asapu, Shiva, Xia, Qiangfei, Joshua Yang, J.

“…A neuromorphic computing system may be able to learn and perform a task on its own by interacting with its surroundings. Combining such a chip with…”
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In-sensor reservoir computing for language learning via two-dimensional memristors by Sun, Linfeng, Wang, Zhongrui, Jiang, Jinbao, Kim, Yeji, Joo, Bomin, Zheng, Shoujun, Lee, Seungyeon, Yu, Woo Jong, Kong, Bai-Sun, Yang, Heejun

“…The dynamic processing of optoelectronic signals carrying temporal and sequential information is critical to various machine learning applications including…”
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Large Memristor Crossbars for Analog Computing by Can Li, Yunning Li, Hao Jiang, Wenhao Song, Peng Lin, Zhongrui Wang, Yang, J. Joshua, Qiangfei Xia, Miao Hu, Montgomery, Eric, Jiaming Zhang, Davila, Noraica, Graves, Catherine E., Zhiyong Li, Strachan, John Paul, Williams, R. Stanley, Ning Ge, Barnell, Mark, Qing Wu

“…Memristor with tunable non-volatile resistance offers in-memory computing capability that avoids the von-Neumann bottleneck. However, large-scale experimental…”
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Three-dimensional memristor circuits as complex neural networks by Lin, Peng, Li, Can, Wang, Zhongrui, Li, Yunning, Jiang, Hao, Song, Wenhao, Rao, Mingyi, Zhuo, Ye, Upadhyay, Navnidhi K., Barnell, Mark, Wu, Qing, Yang, J. Joshua, Xia, Qiangfei

“…Constructing a computing circuit in three dimensions (3D) is a necessary step to enable the massive connections and efficient communications required in…”
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Capacitive neural network with neuro-transistors by Wang, Zhongrui, Rao, Mingyi, Han, Jin-Woo, Zhang, Jiaming, Lin, Peng, Li, Yunning, Li, Can, Song, Wenhao, Asapu, Shiva, Midya, Rivu, Zhuo, Ye, Jiang, Hao, Yoon, Jung Ho, Upadhyay, Navnidhi Kumar, Joshi, Saumil, Hu, Miao, Strachan, John Paul, Barnell, Mark, Wu, Qing, Wu, Huaqiang, Qiu, Qinru, Williams, R. Stanley, Xia, Qiangfei, Yang, J. Joshua

“…Experimental demonstration of resistive neural networks has been the recent focus of hardware implementation of neuromorphic computing. Capacitive neural…”
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Sub-10 nm Ta Channel Responsible for Superior Performance of a HfO2 Memristor by Jiang, Hao, Han, Lili, Lin, Peng, Wang, Zhongrui, Jang, Moon Hyung, Wu, Qing, Barnell, Mark, Yang, J. Joshua, Xin, Huolin L., Xia, Qiangfei

“…Memristive devices are promising candidates for the next generation non-volatile memory and neuromorphic computing. It has been widely accepted that the motion…”
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Predicting Ischemic Stroke Outcome Using Deep Learning Approaches by Fang, Gang, Huang, Zhennan, Wang, Zhongrui

“…Predicting functional outcomes after an Ischemic Stroke (IS) is highly valuable for patients and desirable for physicians. This facilitates physicians to set…”
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Mechanical Properties and Mechanism Analysis of Graphite Tailings Environment-Friendly Concrete by Duan, Hourui, Liu, Hongbo, Li, Bochen, Wang, Zhongrui, Gao, Hongshuai

“…The development of tailings in concrete technology is not only conducive to the realization of the goal of reducing carbon emissions, but also conducive to the…”
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In situ training of feed-forward and recurrent convolutional memristor networks by Wang, Zhongrui, Li, Can, Lin, Peng, Rao, Mingyi, Nie, Yongyang, Song, Wenhao, Qiu, Qinru, Li, Yunning, Yan, Peng, Strachan, John Paul, Ge, Ning, McDonald, Nathan, Wu, Qing, Hu, Miao, Wu, Huaqiang, Williams, R. Stanley, Xia, Qiangfei, Yang, J. Joshua

“…The explosive growth of machine learning is largely due to the recent advancements in hardware and architecture. The engineering of network structures, taking…”
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