Articoli di riviste sul tema "Neuromorphic technologies"
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Okazaki, Atsuya. "Hardware Technologies for Neuromorphic Computing". Journal of the Robotics Society of Japan 35, n. 3 (2017): 209–14. http://dx.doi.org/10.7210/jrsj.35.209.
Argyris, Apostolos. "Photonic neuromorphic technologies in optical communications". Nanophotonics 11, n. 5 (19 gennaio 2022): 897–916. http://dx.doi.org/10.1515/nanoph-2021-0578.
Kim, Chul-Heung, Suhwan Lim, Sung Yun Woo, Won-Mook Kang, Young-Tak Seo, Sung-Tae Lee, Soochang Lee et al. "Emerging memory technologies for neuromorphic computing". Nanotechnology 30, n. 3 (13 novembre 2018): 032001. http://dx.doi.org/10.1088/1361-6528/aae975.
Varshika, M. Lakshmi, Federico Corradi e Anup Das. "Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends". Electronics 11, n. 10 (18 maggio 2022): 1610. http://dx.doi.org/10.3390/electronics11101610.
Della Rocca, Mattia. "Of the Artistic Nude and Technological Behaviorism". Nuncius 32, n. 2 (2017): 376–411. http://dx.doi.org/10.1163/18253911-03202006.
Rajendran, Bipin, e Fabien Alibart. "Neuromorphic Computing Based on Emerging Memory Technologies". IEEE Journal on Emerging and Selected Topics in Circuits and Systems 6, n. 2 (giugno 2016): 198–211. http://dx.doi.org/10.1109/jetcas.2016.2533298.
Woo, Jiyong, Jeong Hun Kim, Jong‐Pil Im e Seung Eon Moon. "Recent Advancements in Emerging Neuromorphic Device Technologies". Advanced Intelligent Systems 2, n. 10 (23 agosto 2020): 2000111. http://dx.doi.org/10.1002/aisy.202000111.
Woo, Jiyong, Jeong Hun Kim, Jong‐Pil Im e Seung Eon Moon. "Recent Advancements in Emerging Neuromorphic Device Technologies". Advanced Intelligent Systems 2, n. 10 (ottobre 2020): 2070101. http://dx.doi.org/10.1002/aisy.202070101.
Kurshan, Eren, Hai Li, Mingoo Seok e Yuan Xie. "A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications". International Journal of Semantic Computing 14, n. 04 (dicembre 2020): 457–75. http://dx.doi.org/10.1142/s1793351x20500063.
Orii, Yasumitsu, Akihiro Horibe, Kuniaki Sueoka, Keiji Matsumoto, Toyohiro Aoki, Hirokazu Noma, Sayuri Kohara et al. "PERSPECTIVE ON REQUIRED PACKAGING TECHNOLOGIES FOR NEUROMORPHIC DEVICES". International Symposium on Microelectronics 2015, n. 1 (1 ottobre 2015): 000561–66. http://dx.doi.org/10.4071/isom-2015-tha15.
Tyler, Neil. "Tempo Targets Low-Power Chips for AI Applications". New Electronics 52, n. 13 (9 luglio 2019): 7. http://dx.doi.org/10.12968/s0047-9624(22)61557-8.
Pammi, Venkata Anirudh, e Sylvain Barbay. "Micro-lasers for neuromorphic computing". Photoniques, n. 104 (settembre 2020): 26–29. http://dx.doi.org/10.1051/photon/202010426.
Vanarse, Anup, Adam Osseiran e Alexander Rassau. "Neuromorphic engineering — A paradigm shift for future IM technologies". IEEE Instrumentation & Measurement Magazine 22, n. 2 (aprile 2019): 4–9. http://dx.doi.org/10.1109/mim.2019.8674627.
Schneider, Michael, Emily Toomey, Graham Rowlands, Jeff Shainline, Paul Tschirhart e Ken Segall. "SuperMind: a survey of the potential of superconducting electronics for neuromorphic computing". Superconductor Science and Technology 35, n. 5 (30 marzo 2022): 053001. http://dx.doi.org/10.1088/1361-6668/ac4cd2.
Diao, Yu, Yaoxuan Zhang, Yanran Li e Jie Jiang. "Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications". Sensors 23, n. 24 (12 dicembre 2023): 9779. http://dx.doi.org/10.3390/s23249779.
Milo, Valerio, Gerardo Malavena, Christian Monzio Compagnoni e Daniele Ielmini. "Memristive and CMOS Devices for Neuromorphic Computing". Materials 13, n. 1 (1 gennaio 2020): 166. http://dx.doi.org/10.3390/ma13010166.
Covi, Erika, Halid Mulaosmanovic, Benjamin Max, Stefan Slesazeck e Thomas Mikolajick. "Ferroelectric-based synapses and neurons for neuromorphic computing". Neuromorphic Computing and Engineering 2, n. 1 (7 febbraio 2022): 012002. http://dx.doi.org/10.1088/2634-4386/ac4918.
Chakraborty, I., A. Jaiswal, A. K. Saha, S. K. Gupta e K. Roy. "Pathways to efficient neuromorphic computing with non-volatile memory technologies". Applied Physics Reviews 7, n. 2 (giugno 2020): 021308. http://dx.doi.org/10.1063/1.5113536.
Allwood, Dan A., Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH Musameh, Simon O'Keefe et al. "A perspective on physical reservoir computing with nanomagnetic devices". Applied Physics Letters 122, n. 4 (23 gennaio 2023): 040501. http://dx.doi.org/10.1063/5.0119040.
Abbas, Haider, Jiayi Li e Diing Shenp Ang. "Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications". Micromachines 13, n. 5 (30 aprile 2022): 725. http://dx.doi.org/10.3390/mi13050725.
Hao, Ji, Young-Hoon Kim, Severin N. Habisreutinger, Steven P. Harvey, Elisa M. Miller, Sean M. Foradori, Michael S. Arnold et al. "Low-energy room-temperature optical switching in mixed-dimensionality nanoscale perovskite heterojunctions". Science Advances 7, n. 18 (aprile 2021): eabf1959. http://dx.doi.org/10.1126/sciadv.abf1959.
Hajtó, Dániel, Ádám Rák e György Cserey. "Robust Memristor Networks for Neuromorphic Computation Applications". Materials 12, n. 21 (31 ottobre 2019): 3573. http://dx.doi.org/10.3390/ma12213573.
Moradi, Saber, e Rajit Manohar. "The impact of on-chip communication on memory technologies for neuromorphic systems". Journal of Physics D: Applied Physics 52, n. 1 (26 ottobre 2018): 014003. http://dx.doi.org/10.1088/1361-6463/aae641.
Jha, Rashmi. "Emerging Memory Devices Beyond Conventional Data Storage: Paving the Path for Energy-Efficient Brain-Inspired Computing". Electrochemical Society Interface 32, n. 1 (1 marzo 2023): 49–51. http://dx.doi.org/10.1149/2.f10231if.
Abd, Hamam, e Andreas König. "On-Chip Adaptive Implementation of Neuromorphic Spiking Sensory Systems with Self-X Capabilities". Chips 2, n. 2 (6 giugno 2023): 142–58. http://dx.doi.org/10.3390/chips2020009.
Concha Salor, Laura, e Victor Monzon Baeza. "Harnessing the Potential of Emerging Technologies to Break down Barriers in Tactical Communications". Telecom 4, n. 4 (16 ottobre 2023): 709–31. http://dx.doi.org/10.3390/telecom4040032.
Chiappalone, Michela, Vinicius R. Cota, Marta Carè, Mattia Di Florio, Romain Beaubois, Stefano Buccelli, Federico Barban et al. "Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering". Brain Sciences 12, n. 11 (19 novembre 2022): 1578. http://dx.doi.org/10.3390/brainsci12111578.
Gao, Zhan, Yan Wang, Ziyu Lv, Pengfei Xie, Zong-Xiang Xu, Mingtao Luo, Yuqi Zhang et al. "Ferroelectric coupling for dual-mode non-filamentary memristors". Applied Physics Reviews 9, n. 2 (giugno 2022): 021417. http://dx.doi.org/10.1063/5.0087624.
Getty, N., T. Brettin, D. Jin, R. Stevens e F. Xia. "Deep medical image analysis with representation learning and neuromorphic computing". Interface Focus 11, n. 1 (11 dicembre 2020): 20190122. http://dx.doi.org/10.1098/rsfs.2019.0122.
Khajooei, Arash, Mohammad (Behdad) Jamshidi e Shahriar B. Shokouhi. "A Super-Efficient TinyML Processor for the Edge Metaverse". Information 14, n. 4 (10 aprile 2023): 235. http://dx.doi.org/10.3390/info14040235.
Demin, V. A., A. V. Emelyanov, D. A. Lapkin, V. V. Erokhin, P. K. Kashkarov e M. V. Kovalchuk. "Neuromorphic elements and systems as the basis for the physical implementation of artificial intelligence technologies". Crystallography Reports 61, n. 6 (novembre 2016): 992–1001. http://dx.doi.org/10.1134/s1063774516060067.
Lakshmana Prabhu, Nagaraj, e Nagarajan Raghavan. "Computational Failure Analysis of Resistive RAM Used as a Synapse in a Convolutional Neural Network for Image Classification". EDFA Technical Articles 23, n. 1 (1 febbraio 2021): 29–33. http://dx.doi.org/10.31399/asm.edfa.2021-1.p029.
Samir N. Ajani,. "Frontiers of Computing - Evolutionary Trends and Cutting-Edge Technologies in Computer Science and Next Generation Application". Journal of Electrical Systems 20, n. 1s (28 marzo 2024): 28–45. http://dx.doi.org/10.52783/jes.750.
Sueoka, Brandon, e Feng Zhao. "Memristive synaptic device based on a natural organic material—honey for spiking neural network in biodegradable neuromorphic systems". Journal of Physics D: Applied Physics 55, n. 22 (7 marzo 2022): 225105. http://dx.doi.org/10.1088/1361-6463/ac585b.
Rahmeh, Samer, e Adam Neumann. "HUBO & QUBO and Prime Factorization". International Journal of Bioinformatics and Intelligent Computing 3, n. 1 (20 febbraio 2024): 45–69. http://dx.doi.org/10.61797/ijbic.v3i1.301.
Guo, Pengfei, Andrew Sarangan e Imad Agha. "A Review of Germanium-Antimony-Telluride Phase Change Materials for Non-Volatile Memories and Optical Modulators". Applied Sciences 9, n. 3 (4 febbraio 2019): 530. http://dx.doi.org/10.3390/app9030530.
Ou, Qiao-Feng, Bang-Shu Xiong, Lei Yu, Jing Wen, Lei Wang e Yi Tong. "In-Memory Logic Operations and Neuromorphic Computing in Non-Volatile Random Access Memory". Materials 13, n. 16 (10 agosto 2020): 3532. http://dx.doi.org/10.3390/ma13163532.
Zhu, Minglu, Tianyiyi He e Chengkuo Lee. "Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems". Applied Physics Reviews 7, n. 3 (settembre 2020): 031305. http://dx.doi.org/10.1063/5.0016485.
Wan, Changjin, Mengjiao Pei, Kailu Shi, Hangyuan Cui, Haotian Long, Lesheng Qiao, Qianye Xing e Qing Wan. "Toward a Brain‐Neuromorphics Interface". Advanced Materials, 10 febbraio 2024. http://dx.doi.org/10.1002/adma.202311288.
"Vision Technologies for Smartphones". New Electronics 56, n. 3 (marzo 2023): 31. http://dx.doi.org/10.12968/s0047-9624(23)60547-4.
Bartolozzi, Chiara, Giacomo Indiveri e Elisa Donati. "Embodied neuromorphic intelligence". Nature Communications 13, n. 1 (23 febbraio 2022). http://dx.doi.org/10.1038/s41467-022-28487-2.
Cramer, Benjamin, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle et al. "Surrogate gradients for analog neuromorphic computing". Proceedings of the National Academy of Sciences 119, n. 4 (14 gennaio 2022). http://dx.doi.org/10.1073/pnas.2109194119.
Moss, David. "Photonic Multiplexing Technologies for Optical Neuromorphic Networks". SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4204530.
Shen, Jiabin, Zengguang Cheng e Peng Zhou. "Optical and optoelectronic neuromorphic devices based on emerging memory technologies". Nanotechnology, 23 maggio 2022. http://dx.doi.org/10.1088/1361-6528/ac723f.
Donati, Elisa, e Giacomo Valle. "Neuromorphic hardware for somatosensory neuroprostheses". Nature Communications 15, n. 1 (16 gennaio 2024). http://dx.doi.org/10.1038/s41467-024-44723-3.
Liu, Xuerong, Cui Sun, Xiaoyu Ye, Xiaojian Zhu, Cong Hu, Hongwei Tan, Shang He, Mengjie Shao e Run‐Wei Li. "Neuromorphic Nanoionics for human‐machine Interaction: from Materials to Applications". Advanced Materials, 29 febbraio 2024. http://dx.doi.org/10.1002/adma.202311472.
Zhou, Kui, Ziqi Jia, Xin-Qi Ma, Wenbiao Niu, Yao Zhou, Ning Huang, Guanglong Ding et al. "Manufacturing of graphene based synaptic devices for optoelectronic applications". International Journal of Extreme Manufacturing, 8 agosto 2023. http://dx.doi.org/10.1088/2631-7990/acee2e.
Bai, Yunping, Xingyuan Xu, Mengxi Tan, Yang Sun, Yang Li, Jiayang Wu, Roberto Morandotti, Arnan Mitchell, Kun Xu e David J. Moss. "Photonic multiplexing techniques for neuromorphic computing". Nanophotonics, 9 gennaio 2023. http://dx.doi.org/10.1515/nanoph-2022-0485.
Park, Jaeseoung, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain et al. "Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge". Nature Communications 15, n. 1 (25 aprile 2024). http://dx.doi.org/10.1038/s41467-024-46682-1.
Aboumerhi, Khaled, Amparo Güemes, Hongtao Liu, Francesco V. Tenore e Ralph Etienne-Cummings. "Neuromorphic applications in medicine". Journal of Neural Engineering, 2 agosto 2023. http://dx.doi.org/10.1088/1741-2552/aceca3.