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Neuromorphic computing represents a groundbreaking paradigm shift in the realm of artificial intelligence, aiming to replicate the architecture and operational mechanisms of the human brain. This paper provides a comprehensive exploration of the foundational p…
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Rajeev Borra
2024-12-24T23:41:37Z
置信度 0.70
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Junmei Du, Bai Sun, Chuan Yang, Zelin Cao 等
2024-12-02T16:44:28Z
置信度 0.70
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Ronghuan Xie, Senmiao Liu, Tianxiang Yang, Mengxue Zhu 等
2024-12-06T19:41:04Z
置信度 0.70
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Lewis Thelen, Vikram Ravindra
2026-01-21T21:07:17Z
置信度 0.70
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Amit Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay
2025-12-03T18:39:13Z
置信度 0.70
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2025-05-30T17:05:17Z
置信度 0.70
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2026-02-03T21:08:48Z
置信度 0.70
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James Millen
2025-09-16T19:53:18Z
置信度 0.70
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Dylan Richard Muir, Sadique Sheik
2025-04-15T16:35:34Z
置信度 0.70
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Ali Akbar Firoozi, Ali Asghar Firoozi
2024-07-26T13:01:53Z
置信度 0.70
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E. Petri, R. Postoyan, W.P.M.H. Heemels
2026-01-12T18:19:56Z
置信度 0.70
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Abstract We introduce a novel neuromorphic network architecture based on a lattice of exciton-polariton condensates, intricately interconnected and energized through nonresonant optical pumping. The network employs a binary framework, where each neuron, facili…
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Evgeny Sedov, Alexey Kavokin
2025-01-16T11:35:13Z
置信度 0.70
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Jiang Yiming, Wang Xiaoping, Jiang Mingxuan
2025-05-19T17:52:05Z
置信度 0.70
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Xiaona Zhao, Chuandong Li, Mingchen Huan
2025-05-19T17:52:05Z
置信度 0.70
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Guohe Zhang
2024-07-19T00:58:08Z
置信度 0.70
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2025-05-30T17:05:17Z
置信度 0.70
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Abstract Non-contact current sensors are valuable because they can safely measure alternating current without interrupting the circuit. However, current sensors utilizing Hall elements or coils are only available for single wires, and piezoelectric resonator-b…
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Kei Nishimura, Norifumi Fujimura, Takeshi Yoshimura
2024-08-27T22:48:30Z
置信度 0.70
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Debanjan Bhowmik
2024-07-15T14:02:06Z
置信度 0.70
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Ramin Karimi Azari, Zhaojing Gao, Alexandre Carrière, Clara Santato
2024-03-01T16:25:13Z
置信度 0.70
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Song Jiang, Xujun Yang, Lu Wang
2025-05-19T17:52:05Z
置信度 0.70
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J. Jyothish Raj, T. Archana, K.B. Jinesh
2025-01-23T03:38:59Z
置信度 0.70
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Binitha Sara Mathew, K.M. Subhash, P.N. Pournami
2026-02-27T20:47:17Z
置信度 0.70
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Facing the rapid development and energy-efficiency demands of artificial intelligence and neuromorphic computing, traditional von Neumann architectures struggle with storage and power consumption bottlenecks. Neuromorphic devices, as next-generation computing …
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Yiming Feng
2025-09-09T09:21:27Z
置信度 0.70
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Hagar Hendy, Karsten Bergthold, Tejasvi Das, Cory Merkel
2024-07-02T17:22:52Z
置信度 0.70
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Bioinspired approaches tend to mimic some biological functions for the purpose of creating more efficient and robust systems. These can be implemented in both software and hardware designs. A neuromorphic software part can include, for example, Spiking Neural …
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Nicola Russo, Thomas Madsen, Konstantin Nikolic
2024-08-30T07:45:47Z
置信度 0.70
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Ilknur Mustafazade, Anup Das, Nagarajan Kandasamy
2025-02-04T18:31:01Z
置信度 0.70
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Crescenzo Edoardo Mauriello, Hugo Bulzomi, Jean Martinet, Yuta Nakano
2025-08-19T18:08:08Z
置信度 0.70
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Himanshu Ahirwal, Gouranga Mandal, Mourina Ghosh, Sudip Biswas
2026-01-19T20:51:22Z
置信度 0.70
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Sarah Luca, Felix Wang, Srideep Musuvathy
2024-12-02T18:37:03Z
置信度 0.70
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Neuromorphic devices represent a frontier in technological development, aiming to emulate the intricate parallel functionalities inherent to the human brain [1, 2]. Traditional computing models, such as Von Neumann architecture, grapple with limitations in par…
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Advaita Ghosh, Yen-Fu Lin, Shu-Ping Lin
2024-08-19T15:31:10Z
置信度 0.70
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Ismail Lamaakal, Chaymae Yahyati, Ibrahim Ouahbi, Khalid El Makkaoui 等
2025-12-15T18:36:56Z
置信度 0.70
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2025-10-29T21:07:44Z
置信度 0.70
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Sanshan Liu, Shiyuan Wang, Dongyuan Lin
2025-05-19T17:52:05Z
置信度 0.70
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Chandra Mohan Singh, Hritik Brajawar Singh, Gufran Ahmad
2023-10-02T13:43:50Z
置信度 0.70
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Yiran Chen, Qinru Qiu
2022-10-10T20:10:22Z
置信度 0.70
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Ali Akbar Firoozi, Ali Asghar Firoozi
2024-09-12T15:02:54Z
置信度 0.70
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We study the validity of implementing MoS2 multilevel memories in future neuromorphic networks. Such a validity is determined by the number of available states per memory and their retention characteristics within the nominal computing duration. Our work shows…
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Da Li, Byunghoon Ryu, Xiaogan Liang
2020-11-23T15:23:41Z
置信度 0.70
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E. Shalini, K. Athira, Ankita Nihlani, Makhmudov Nurilla Normirza Ugli
2026-07-09T12:10:07Z
置信度 0.70
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Miltiadis Moralis-Pegios, George Mourgias-Alexandris, Apostolos Tsakyridis, George Giamougiannis 等
2022-03-04T22:09:41Z
置信度 0.70
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Abstract We show how any finite physical system with morphological, i.e. three-dimensional embedding or shape, degrees of freedom and locally limited free energy will, under the constraints of the free energy principle, evolve over time towards a neuromorphic …
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Chris Fields, Karl Friston, James F Glazebrook, Michael Levin 等
2022-12-02T01:56:23Z
置信度 0.70
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Cortical plasticity is one of the main features that enable our ability to learn and adapt in our environment. Indeed, the cerebral cortex self-organizes itself through structural and synaptic plasticity mechanisms that are very likely at the basis of an extre…
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Lyes Khacef, Laurent Rodriguez, Benoît Miramond
2020-10-01T09:04:12Z
置信度 0.70
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Pujun Zhou, Changhui Xiao, Liwei Meng, Qi Yu 等
2025-08-29T17:44:48Z
置信度 0.70
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Amir Shahhosseini, Thomas Burger, Rodolphe Sepulchre
2026-01-12T18:19:56Z
置信度 0.70
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2025-09-23T21:11:29Z
置信度 0.70
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Kwabena A. Boahen
2007-08-26T02:15:23Z
置信度 0.70
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W S Zhao, G Angus, V Derycke, A Filoramo 等
2010-06-03T03:13:49Z
置信度 0.70
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2025-09-23T21:11:29Z
置信度 0.70
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Steven Abreu, Jens E. Pedersen
2024-12-02T18:37:03Z
置信度 0.70
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Robert M. Shelby, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai 等
2017-06-20T21:26:09Z
置信度 0.70
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Simulations are a powerful tool to explore the design space of hardware systems, offering the flexibility to analyze different designs by simply changing parameters within the simulator setup. A precondition for the effectiveness of this methodology is that th…
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Robert Kleijnen, Markus Robens, Michael Schiek, Stefan van Waasen
2022-08-08T06:02:06Z
置信度 0.70
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Chengke Chao, Shengchao Huang, Yuezu Lv, Dan Shan
2024-03-19T18:09:52Z
置信度 0.70
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Ali Akbar Firoozi, Ali Asghar Firoozi
2024-07-26T13:01:53Z
置信度 0.70
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2026-07-06T19:15:47Z
置信度 0.70
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Noah Zins, Yan Zhang, Chunxiu Yu, Hongyu An
2023-01-11T03:02:49Z
置信度 0.70
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Shruti R. Kulkarni, Aaron Young, Prasanna Date, Narasinga Rao Miniskar 等
2023-08-28T16:00:57Z
置信度 0.70
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The H. Vu, Abderazek Ben Abdallah
2019-04-05T03:03:38Z
置信度 0.70
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Huatian Zhu, Linan Wang, Yujun Wang, Xinhe Wang 等
2024-03-19T18:09:52Z
置信度 0.70
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Mia Rovis, Tihomir Orehovački
2026-02-25T20:54:33Z
置信度 0.70
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Nicola Russo, Thomas Madsen, Konstantin Nikolic
2025-06-27T17:42:19Z
置信度 0.70
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Daniela Esparza, Sergio Trejo, Gerardo Flores
2025-11-06T00:44:55Z
置信度 0.70
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Neuromorphic computing is inevitable in addressing the computing challenges faced by the current computing architecture. A nonvolatile process is one of the key elements in realizing a neuromorphic architecture. Realization of a photonic nonvolatile state has …
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Rakshitha Kallega, Roopali Shekhawat, K. Ramesh, Shankar Kumar Selvaraja
2025-05-01T14:53:44Z
置信度 0.70
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Frances Chance, Suma Cardwell, Mark Plagge, Andreas Gerstlauer 等
2025-05-07T02:13:30Z
置信度 0.70
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Parth Bhatnagar, Vidushi Gupta, Dayananda P, Manjit Sodhi 等
2026-04-29T19:46:03Z
置信度 0.70
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Kanupriya Varshney, Rohit Sharma, Devarshi Mrinal Das, Brajesh Rawat
2025-05-12T17:42:25Z
置信度 0.70
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Steven Louis, Hannah Bradley, Cody Trevillian, Andrei Slavin 等
2024-10-24T17:27:36Z
置信度 0.70
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Junpeng Wang, Qi Xu, Bo Yuan, Song Chen 等
2020-09-29T13:22:27Z
置信度 0.70
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Robinson E. Pino, Gerard Genello, Morgan Bishop, Michael J. Moore 等
2010-11-03T14:51:03Z
置信度 0.70
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The increasing processing needs of artificial intelligence (AI) has inspired utilizing the architecture of the human brain as a viable way to address this challenge and helped neuromorphic computing become a reality. In contrast to von Neumann architecture-bas…
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Mohammad Arafath Uddin Shariff, Sara Khan
2026-04-04T18:05:24Z
置信度 0.70
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Margarita Ryabova, Anna Matsukatova, Andrey Emelyanov
2024-10-21T17:18:23Z
置信度 0.70
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Xiaojian Zhu, Da Li, Xiaogan Liang, Wei D. Lu
2018-11-29T07:43:32Z
置信度 0.70
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Wei Wu, Huaqiang Wu, Bin Gao, Peng Yao 等
2018-11-16T04:19:05Z
置信度 0.70
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Remarkable advances in photonic integration fueled an impressive variety of neuromorphic architectures, combining coherent and Wavelength-Division-Multiplexing approaches in reducing latency, footprint and power consumption, while operating at multi-10 GHz clo…
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Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, Miltos Moralis-Pegios 等
2022-01-18T20:51:46Z
置信度 0.70
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The growing computational demands of modern Artificial Intelligence (AI) have exposed the limitations of conventional von Neumann computing architectures in terms of energy efficiency, latency, and scalability. Neuromorphic computing has emerged as a revolutio…
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Amelia J. Foster, Yusuf M. Khalid, Diego L. Romero
2026-07-13T08:41:46Z
置信度 0.70
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Olivia Saffer, Jesus Humberto Marines Cabello, Grigorii Slinkov, Steven Becker 等
2026-03-05T20:50:54Z
置信度 0.70
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Neuromorphic computing has emerged as a promising paradigm for addressing the growing energy demands of modern computing by incorporating brain-inspired principles into physical hardware. However, a major challenge lies in scaling individual synaptic devices f…
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Anushree A. Rajput, Suresh R. Kumbhar, Vaishali S. Patil
2026-06-30T12:14:18Z
置信度 0.70
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Nicola Russo, Thomas Madsen, Konstantin Nikolic
2025-09-25T17:52:35Z
置信度 0.70
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Abstract Neuromorphic computing systems employing artificial synapses and neurons are expected to overcome the limitations of the present von Neumann computing architecture in terms of efficiency and bandwidth limits. Traditional neuromorphic devices have used…
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Zirui Zhang, Dongliang Yang, Huihan Li, Ce Li 等
2022-08-17T22:17:31Z
置信度 0.70
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Bin Wei, Jiejie Chen, Ping Jiang, Zhiwei Xiao
2025-05-19T17:52:05Z
置信度 0.70
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Mapping deep neural network (DNN) models onto crossbar-based neuromorphic computing system (NCS) has recently become more popular since it allows us to realize the advantages of DNNs on small computing systems. However, due to the physical limitations of NCS, …
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Thanh D. Dao, Jaeyong Chung
2020-11-25T20:48:12Z
置信度 0.70
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Adrian Ratwatte, Samitha Somathilaka, Sasitharan Balasubramaniam, Assaf A. Gilad
2024-06-05T17:23:13Z
置信度 0.70
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Hamed Nozari, Zornitsa Yordanova
2026-08-14T10:19:46Z
置信度 0.70
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Gwenevere Frank, Gopabandhu Hota, Keli Wang, Abhinav Uppal 等
2025-03-28T03:23:48Z
置信度 0.70
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Takehiro Habara, Takashi Sato, Hiromitsu Awano
2025-06-27T17:42:19Z
置信度 0.70
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Machine learning, particularly in the form of deep learning (DL), has driven most of the recent fundamental developments in artificial intelligence (AI). DL is based on computational models that are, to a certain extent, bio‐inspired, as they rely on networks …
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Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone 等
2020-08-03T01:57:19Z
置信度 0.70
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The demand for computing power has been growing exponentially with the rise of artificial intelligence (AI), machine learning, and the Internet of Things (IoT). This growth requires unconventional computing primitives that prioritize energy efficiency, while a…
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Douglas Z. Plummer, Emily D’Alessandro, Aidan Burrowes, Joshua Fleischer 等
2025-03-24T04:48:18Z
置信度 0.70
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Minhyuk Jeung, Gyeongil Son, Minjae Kim, Sang-Soo Baek
2026-05-26T09:14:16Z
置信度 0.70
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Hamsavahini R
2020-10-24T05:21:17Z
置信度 0.70
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X. Jin, M. Luján, M.M. Khan, L.A. Plana 等
2010-08-03T16:24:55Z
置信度 0.70
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Yushen Hu, Tengteng Lei, Man Wong
2022-12-01T20:52:39Z
置信度 0.70
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Brady Taylor, Ziru Li, Bonan Yan, Hai Li 等
2020-03-23T23:14:04Z
置信度 0.70
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Muhammad Umair Khan, Baker Mohammad
2024-01-10T19:38:25Z
置信度 0.70
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2025-10-29T21:07:44Z
置信度 0.70
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While machine learning (ML) models are becoming mainstream, including in critical application domains, concerns have been raised about the increasing risk of sensitive data leakage. Various privacy attacks, such as membership inference attacks (MIAs), have bee…
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Ayana Moshruba, Ihsen Alouani, Maryam Parsa
2025-03-07T23:36:18Z
置信度 0.70
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We construct a photoelectrochemical synaptic device using p-AlGaN/n-GaN nanowires that integrates chemical-electric behaviors into optoelectronic synapses. The device demonstrates dual-modal plasticity, mimics chemically-regulated synaptic activity, and emulat…
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Xin Liu, Danhao Wang, Wei Chen, Huabin Yu 等
2025-09-24T20:07:18Z
置信度 0.70
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Abstract Magnetic tunnel junctions (MTJs) offer a promising pathway toward energy-efficient neuromorphic computing due to their nanoscale footprint, nonvolatile switching, and intrinsic nonlinear dynamics that emulate synaptic behavior. However, generating lar…
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Felix Oberbauer, Tristan Joachim Winkel, Tim Böhnert, Clara C. Wanjura 等
2025-08-13T18:40:05Z
置信度 0.70
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Ali Akbar Firoozi, Ali Asghar Firoozi
2024-07-26T13:01:53Z
置信度 0.70
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Chang Song, Beiye Liu, Wei Wen, Hai Li 等
2017-10-24T16:43:01Z
置信度 0.70
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S.N. Yanushkevich, G. Tangim, A.H. Tran, T. Mohamed 等
2022-06-09T04:26:28Z
置信度 0.70
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Nasrin Akbari, Mehdi Modarressi
2017-08-10T20:42:43Z
置信度 0.70
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Abstract - This paper presents a practical approach to disaster response and recovery through the integration of neuromorphic computing, autonomous agents, and energy-efficient processing systems. Neuromorphic computing, inspired by the human brain's architect…
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G Gokilavani, Abirami Shankari S, CT Vidhya
2026-03-17T13:25:02Z
置信度 0.70