-
crossref
Damien Querlioz, Julie Grollier, Tifenn Hirtzlin, Jacques-Olivier Klein 等
2019-12-06T07:01:08Z
置信度 0.70
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crossref
Rajarshi Chakraborty, Himanshu Singodia, Subarna Pramanik, Akhilesh Kumar Yadav 等
2025-10-10T21:02:35Z
置信度 0.70
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1. Objective Artificial intelligence (AI), which has achieved high-level capabilities in cognition, learning, and inference through technological innovations such as deep learning, has greatly benefited human society, however, problems such as high energy cons…
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Daiki Nishioka, Yoshitaka Shingaya, Kazuya Terabe, Takashi Tsuchiya
2024-12-19T22:18:36Z
置信度 0.70
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crossref
Ziad El-Khatib, Sherif Moussa
2025-01-15T07:22:40Z
置信度 0.70
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crossref
Damien Querlioz, Adrien F. Vincent, Alice Mizrahi, Damir Vodenicarevic 等
2017-09-29T11:09:59Z
置信度 0.70
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Abstract The statistical processing of sensor data using conventional digital computers is inefficient in terms of time, energy usage, and communication bandwidth, among others. Therefore, new approaches are sought to create context and make sense of the senso…
crossref
Vahideh Shirmohammadli, Behraad Bahreyni
2022-07-19T17:10:22Z
置信度 0.70
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The design of a fully integrated adaptive modified complementary metal-oxide-semiconductor (CMOS) synapse circuit is presented. By using multiple-gated transistor configuration in the modified CMOS synapse an additional branch provide control where the synapti…
crossref
Ziad El-Khatib, Sherif Moussa, Firuz Kamalov, Mustapha C. E. Yagoub
2025-02-17T07:20:31Z
置信度 0.70
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crossref
Tianhu Yu, Huamin Wang
2021-11-29T20:59:32Z
置信度 0.70
-
crossref
Xinle Wang, Xiaoyu Zhang, Hongfei Li
2025-05-19T17:52:05Z
置信度 0.70
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We introduce a neuromorphic architecture that combines excitable electronics, microring-modulators and multi-wavelength lasers. We numerically demonstrate it as optoelectronic spiking neural network by leveraging hardware-aware modelling and training, and perf…
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Matěj Hejda, Aishwarya Natarajan, Chaerin Hong, Mehmet B. On 等
2026-07-28T21:01:37Z
置信度 0.70
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crossref
Nigel Stepp, Aruna Jammalamadaka
2018-07-26T11:58:06Z
置信度 0.70
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crossref
Yunseok Choi, Siwoo Jeong, Hyeonu Jeong, Sangmoon Han 等
2025-04-21T01:27:16Z
置信度 0.70
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crossref
Yang Xiao, Qi Xu, Bo Yuan
2023-08-02T17:30:03Z
置信度 0.70
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crossref
Xiaohui Mu, Lixiang Li
2021-11-29T20:59:32Z
置信度 0.70
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Abstract Brain-inspired neuromorphic computing which consist neurons and synapses, with an ability to perform complex information processing has unfolded a new paradigm of computing to overcome the von Neumann bottleneck. Electronic synaptic memristor devices …
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Dwipak Prasad Sahu, Prabana Jetty, S Narayana Jammalamadaka
2021-01-08T08:49:00Z
置信度 0.70
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europepmc
Qinyang Fan, Changhui Xu, Wei Liu, Zhenyu Zhang 等
2026
置信度 0.80
-
crossref
Akhilesh Balasingam, Akash Levy, Haitong Li, Priyanka Raina
2020-11-02T22:09:13Z
置信度 0.70
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crossref
Dmitrii Zendrikov, Alessio Franci, Giacomo Indiveri
2025-04-04T18:20:20Z
置信度 0.70
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crossref
Yutong Liu, Jiarun Shen, Yongbin Yu, Ban Ma-Bao 等
2025-05-19T17:52:05Z
置信度 0.70
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crossref
Chaewon Youn, Sungjun Kim
2025-09-27T06:16:19Z
置信度 0.70
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crossref
Mengxin Wang, Xiaoni Han, Yuhan Xue, Sitian Qin
2024-03-19T18:09:52Z
置信度 0.70
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crossref
Sonia M. Buckley, Jeff Chiles, Adam N. McCaughan, Richard P. Mirin 等
2017-08-29T15:14:21Z
置信度 0.70
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crossref
Craig Vineyard, Suma Cardwell, Frances Chance, Srideep Musuvathy 等
2022-05-04T07:28:08Z
置信度 0.70
-
Nonlinear phenomena in physical systems can be used for brain-inspired computing with low energy consumption. Response from the dynamics of a topological spin structure called skyrmion is one of the candidates for such a neuromorphic computing. However, its ab…
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Tomoyuki Yokouchi, Satoshi Sugimoto, Bivas Rana, Shinichiro Seki 等
2022-09-30T13:58:33Z
置信度 0.70
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crossref
Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda 等
2020-04-09T20:21:13Z
置信度 0.70
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This research investigates the revolutionary integration of neuromorphic computing with human intuition in the domain of real-time adaptive penetration testing, addressing the critical challenges facing modern cybersecurity in AI-dominated workspaces. The stud…
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Shatson Pamba Fasco
2024-12-23T02:33:57Z
置信度 0.70
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Abstract Reservoir computing (RC) is one kind of neuromorphic computing mainly applied to process sequential data such as time-dependent signals. In this paper, the bifurcation diagram of a photonic time-delay RC system is thoroughly studied, and a method of b…
crossref
Meng Zhang, Zhizhuo Liang, Z Rena Huang
2023-02-03T22:27:16Z
置信度 0.70
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crossref
John Smith, James Aimone, William Severa, Richard Lehoucq
2022-11-26T03:20:28Z
置信度 0.70
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The present study reports a memory structure Al/V 2 O 5 /NiMnIn on a flexible stainless-steel (SS) substrate for neuromorphic applications. The fabricated device exhibits gradual SET and RESET switching characteristics with an OFF/ON resistance ratio of ~100, …
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Kumar Kaushlendra, Habeebur Rahman
2024-08-19T15:54:51Z
置信度 0.70
-
crossref
Ali Akbar Firoozi, Ali Asghar Firoozi
2024-09-12T15:02:54Z
置信度 0.70
-
crossref
Felix Staudigl, Rainer Leupers
2026-01-22T14:21:49Z
置信度 0.70
-
crossref
YeonJoo Jeong, Wei Lu
2018-07-16T21:59:35Z
置信度 0.70
-
crossref
Mohamed A. Mousa, Utkarsh Singh, Leif Bauer, Angshuman Deka 等
2025-12-02T21:32:34Z
置信度 0.70
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crossref
Leslie S. Smith, Alister Hamilton
2012-07-18T22:54:22Z
置信度 0.70
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Abstract Carbon-based materials strongly pertain to citizens’ daily life due to their versatile derivatives such as diamond, graphite, fullerenes, carbon nanotube, single-layer graphene, and amorphous carbon (a-C). Compared to other families, a-C exhibits reco…
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Jie Wu, Xuqi Yang, Jing Chen, Shiyu Li 等
2024-01-19T11:13:32Z
置信度 0.70
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crossref
Wenbing Fang, Zihao Xuan, Song Chen, Yi Kang
2024-01-18T13:27:59Z
置信度 0.70
-
crossref
Shobhit Kumar, Shirshendu Das, Gourav Badone, Amit Kumar
2022-06-01T13:04:19Z
置信度 0.70
-
crossref
Ali Akbar Firoozi, Ali Asghar Firoozi
2024-09-12T15:02:54Z
置信度 0.70
-
Optical structures can serve as low-power high-capacity alternatives of electronic processors for more efficient neuromorphic computing, but can suffer from large footprints and weak scalability. In this work, properly phased time-perturbed microrings side-cou…
crossref
Sajjad Jalili, Mohammad Memarian, Khashayar Mehrany
2022-02-18T07:00:09Z
置信度 0.70
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crossref
Yuchao Wu, Shulong Fan, Peng Liu, Junwei Sun 等
2024-03-19T18:09:52Z
置信度 0.70
-
Abstract Hardware implementing spiking neural networks (SNNs) has the potential to provide transformative gains in energy efficiency and throughput for energy-restricted machine-learning tasks. This is enabled by large arrays of memristive synapse devices that…
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Karolis Sulinskas, Mattias Borg
2022-06-28T22:15:46Z
置信度 0.70
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crossref
Xuemeng Fan, Guobin Zhang, Zijian Wang, Qi Luo 等
2026-03-25T19:54:18Z
置信度 0.70
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Abstract We explore the capabilities of physical computing with oscillatory neural networks (ONNs) to solve combinatorial optimization problems. To solve Sudokus with ONNs, we define a novel mapping strategy that utilizes the unique characteristics of the comp…
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Bram F Haverkort, Federico Sbravati, Stefan Porfir, Aida Todri-Sanial
2026-04-28T22:52:07Z
置信度 0.70
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crossref
Felix Staudigl, Rainer Leupers
2026-01-22T14:21:49Z
置信度 0.70
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Abstract Neuromorphic systems that can emulate the structure and the operations of biological neural circuits have long been viewed as a promising hardware solution to meet the ever-growing demands of big-data analysis and AI tasks. Recent studies on resistive…
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Yuting Wu, Xinxin Wang, Wei D Lu
2021-12-10T19:07:53Z
置信度 0.70
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<table><tr><td><p dir="ltr">In space exploration and communication technology, software-defined networking (SDN) architectures significantly improve communication throughput and latency. This study developed a Q-learning-based continuou…
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Nayim Rahman, Chris Yakopcic, Tarek Taha, Ricardo Lent 等
2026-05-12T13:43:54Z
置信度 0.70
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Precise control over filament dynamics is critical for neuromorphic devices with neuronal and synaptic functions. However, most existing strategies regulate either spatial localization or temporal stability, lacking simultaneous and programmable control. Here,…
crossref
Qiuxu Yu, Shuyi Li, Wei Mi, Di Wang 等
2026-07-29T17:41:59Z
置信度 0.70
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crossref
Tamal Dey, Gopinath Bej, Devdulal Ghosh, Subhankar Mukherjee 等
2026-03-09T19:55:16Z
置信度 0.70
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crossref
Jihong Bae, Jongbum Won, Wooyoung Shim
2024-04-22T11:33:17Z
置信度 0.70
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crossref
Jerald Yoo, Mahsa Shoaran
2021-11-01T19:07:21Z
置信度 0.70
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crossref
Ali Akbar Firoozi, Ali Asghar Firoozi
2024-09-12T15:02:54Z
置信度 0.70
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crossref
Dilshad Shaik, M. Sravanthi, B. Karunasree, Sangam Mounika
2025-02-13T11:57:01Z
置信度 0.70
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In‐sensor neuromorphic computing integrates sensing and processing within a single material system, enabling real‐time, ultralow‐power computation for biomedical signal analysis, artificial skin, and brain‐machine interfaces. Organic sensors, organic electroch…
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Dong Hyun Lee, Woojo Kim, Eun Kwang Lee, Hocheon Yoo
2025-07-24T08:36:37Z
置信度 0.70
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crossref
Hong Yu, Yinfang Song, Li Liu, Gang Zhang
2024-03-19T18:09:52Z
置信度 0.70
-
crossref
Fan Ye, Fei Liang, Jian-Wei Zhong, Guan-Ling Li 等
2026-01-20T16:28:18Z
置信度 0.70
-
crossref
Jie Zhang, Yunchen Wang, Hongxiang Hu
2024-03-19T18:09:52Z
置信度 0.70
-
Neuromorphic computing [1], inspired by the energy-efficient and parallelized architecture of the human brain, represents a paradigm shift in computing. This approach not only drives innovative hardware designs but also inspires novel network architectures lik…
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Kannan Udaya Mohanan, Chang-Hyun Kim, Seyed Mehdi Sattari-Esfahlan, Eou-Sik Cho 等
2025-07-21T08:01:46Z
置信度 0.70
-
crossref
Weiwei Liang, Chuandong Li, Shaqi Yang, Yawei Shi 等
2024-03-19T18:09:52Z
置信度 0.70
-
crossref
Haohang Sun, Tongtong Gao, Yawen Wang, Xiaofang Hu
2024-03-19T18:09:52Z
置信度 0.70
-
crossref
Md. Shahanur Alam, Chris Yakopcic, Guru Subramanyam, Tarek M. Taha
2021-04-14T01:42:20Z
置信度 0.70
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crossref
Ignacio Sanjuán, David Franco, Qun-Gao Chen, Chu-Chen Chueh 等
2025-12-17T09:40:46Z
置信度 0.70
-
Due to a rapid increase in the amount of data, there is a huge demand for the development of new memory technologies as well as emerging computing systems for high-density memory storage and efficient computing. As the conventional transistor-based storage dev…
crossref
Haider Abbas, Jiayi Li, Diing Ang
2022-05-01T06:23:08Z
置信度 0.70
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crossref
Yang Ho, Armida Carbajal, Leonardo Escamilla, Ali Pinar
2024-12-02T18:37:03Z
置信度 0.70
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crossref
Jayashri Patil, Sharmila B, P. Divyashree, Siva Kotamraju 等
2025-07-22T23:05:43Z
置信度 0.70
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crossref
Alberto Marchisio, Muhammad Shafique
2025-08-19T18:07:28Z
置信度 0.70
-
Abstract Neuromorphic computing emulates a biological brain at different levels of the computer hierarchy by exploiting brain‐inspired principles in designing novel devices, algorithms, and architectures. It is believed to have a lower power budget and a highe…
crossref
Jing Zhou, Jingsheng Chen
2021-06-26T02:00:01Z
置信度 0.70
-
crossref
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
2019-01-18T21:45:18Z
置信度 0.70
-
Abstract Materials able to sense and respond to external stimuli by adapting their internal state to process and store information, represent promising candidates for implementing neuromorphic functionalities and brain‐inspired computing paradigms. In this con…
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Federico Ferrarese Lupi, Mateo Rosero‐Realpe, Antonio Ocarino, Francesca Frascella 等
2025-05-13T06:18:25Z
置信度 0.70
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Abstract The growing number of edge devices in everyday life generates a considerable amount of data that current AI algorithms, like artificial neural networks, cannot handle inside edge devices with limited bandwidth, memory, and energy available. Neuromorph…
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Madeleine Abernot, Todri-Sanial Aida
2023-01-13T17:27:52Z
置信度 0.70
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Aiming at the self-association feature of the Hopfield neural network, we can reduce the need for extensive sensor training samples during human behavior recognition. For a training algorithm to obtain a general activity feature template with only one time dat…
crossref
Zheqi Yu, Adnan Zahid, Shuja Ansari, Hasan Abbas 等
2022-01-07T08:36:51Z
置信度 0.70
-
crossref
Ali Akbar Firoozi, Ali Asghar Firoozi
2024-09-12T15:02:54Z
置信度 0.70
-
crossref
Pai-Yu Chen, Jae-sun Seo, Yu Cao, Shimeng Yu
2016-10-18T12:23:59Z
置信度 0.70
-
crossref
Felix Staudigl, Rainer Leupers
2026-01-22T14:21:46Z
置信度 0.70
-
crossref
Nathan R. McDonald, Robinson E. Pino, Peter J. Rozwood, Bryant T. Wysocki
2010-10-19T18:58:15Z
置信度 0.70
-
crossref
Sharmarke A. Gabayre, Mindula Illeperuma, Varuna D. De-Silva, Xiyu Shi 等
2025-08-13T22:09:04Z
置信度 0.70
-
crossref
Ning Zhang, Arto Nurmikko
2024-03-13T16:32:08Z
置信度 0.70
-
crossref
Lu Liu, Ling Chen, Chuandong Li, Zhiyuan Zhu
2024-03-19T18:09:52Z
置信度 0.70
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crossref
Chao Han, Jiayue Han, He Yu, Jun Gou 等
2024-04-30T15:46:49Z
置信度 0.70
-
Abstract Auto-encoders are capable of performing input reconstruction, denoising, and classification through an encoder-decoder structure. Spiking Auto-Encoders (SAEs) can utilize asynchronous sparse spikes to improve power efficiency and processing latency on…
crossref
Ben Walters, Hamid Rahimian Kalatehbali, Zhengyu Cai, Roman Genov 等
2024-06-27T22:26:11Z
置信度 0.70
-
crossref
Marina Sparvoli, Mauro F. P. Silva, Mario Gazziro
2017-05-16T20:53:33Z
置信度 0.70
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crossref
Liwei Zhou, Chengxu Ke, Qiuxu Yu, Shuyi Li 等
2026-08-22T09:21:38Z
置信度 0.70
-
crossref
James B. Aimone, Yang Ho, Ojas Parekh, Cynthia A. Phillips 等
2020-07-09T15:56:12Z
置信度 0.70
-
crossref
Pouya Soltani Zarrin, Cristian Martin, Peter Langendoerfer, Christian Wenger 等
2021-11-10T23:47:51Z
置信度 0.70
-
crossref
Qusay Al-Taai, Razvan Morariu, Jue Wang, Abdullah Al-Khalidi 等
2022-06-01T19:50:01Z
置信度 0.70
-
crossref
Miguel Angel Lastras-Montano, Bhaswar Chakrabarti, Dmitri B. Strukov, Kwang-Ting Cheng
2017-05-15T20:34:41Z
置信度 0.70
-
crossref
S.M. Zia Uddin, Babar Khan, Syeda Aimen Naseem, Syeda Umme Aeman Kamal
2024-12-27T19:08:43Z
置信度 0.70
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crossref
Guoqing He, Huiwei Wang, Junjie Lv, Ziyu Sheng 等
2021-11-29T20:59:32Z
置信度 0.70
-
crossref
Tingting Ma, Yichen Wei
2025-04-01T07:10:04Z
置信度 0.70
-
Abstract Event-based vision is a neuromorphic sensing approach that enables low-latency, energy-aware perception by encoding brightness changes as sparse, asynchronous events rather than dense image frames. Event cameras provide microsecond-level timestamps an…
crossref
Anusha Devulapally, Sadia Anjum Tumpa, Vijaykrishnan Narayanan
2026-06-18T22:50:57Z
置信度 0.70
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Abstract The human eye has three rotational degrees of freedom: azimuthal, elevational, and torsional. Although torsional eye movements have the most limited excursion, Hering and Helmholtz have argued that they play an important role in optimizing visual info…
crossref
Qingpeng Zhu, Chong Zhang, Jochen Triesch, Bertram E Shi
2022-07-28T22:20:23Z
置信度 0.70
-
crossref
Ali Akbar Firoozi, Ali Asghar Firoozi
2024-09-12T15:02:54Z
置信度 0.70
-
crossref
Jae-Woo Kim, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae-Min Lee
2021-02-03T15:42:57Z
置信度 0.70
-
crossref
Xingyun Dai, Xiao Fang, Linan Wang, Xinhe Wang
2024-03-19T14:09:52Z
置信度 0.70
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crossref
Mykola Dvornik, Ahmad A. Awad, Philipp Dürrenfeld, Afshin Houshang 等
2017-09-19T18:38:28Z
置信度 0.70
-
Abstract Energy efficiency, parallel information processing, and unsupervised learning make the human brain a model computing system for unstructured data handling. Different types of oxide memristors can emulate synaptic functions in artificial neuromorphic c…
crossref
Sayani Majumdar, Hongwei Tan, Qi Hang Qin, Sebastiaan van Dijken
2019-01-03T09:14:02Z
置信度 0.70
-
crossref
Xiao Xiao, Juntao Han, Junwei Sun, Peng Liu
2021-11-29T20:59:32Z
置信度 0.70
-
crossref
C. A Anjo, P. Aruna Priya
2017-08-12T23:04:06Z
置信度 0.70
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crossref
Rahul Pradhan, Annapurna Gummadi, P. Tanusha, Gandla Sowmya 等
2024-05-16T17:21:09Z
置信度 0.70
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crossref
Debanjan Bhowmik, Ram Singh Yadav, Pranaba Kishor Muduli, Abhinaba Ghosh 等
2025-08-11T17:40:59Z
置信度 0.70
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crossref
Charulatha.R.T, D. Myshalini, R. Harshini, M. Theodore Kingslin 等
2026-07-29T19:11:44Z
置信度 0.70