Artículos de revistas sobre el tema "Photonic Neural Network"
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Han, Yanan, Shuiying Xiang, Yuna Zhang, Shuang Gao, Aijun Wen y Yue Hao. "An All-MRR-Based Photonic Spiking Neural Network for Spike Sequence Learning". Photonics 9, n.º 2 (20 de febrero de 2022): 120. http://dx.doi.org/10.3390/photonics9020120.
Texto completoMarquez, Bicky A., Hugh Morison, Zhimu Guo, Matthew Filipovich, Paul R. Prucnal y Bhavin J. Shastri. "Graphene-based photonic synapse for multi wavelength neural networks". MRS Advances 5, n.º 37-38 (2020): 1909–17. http://dx.doi.org/10.1557/adv.2020.327.
Texto completoWang, Ruiting, Pengfei Wang, Chen Lyu, Guangzhen Luo, Hongyan Yu, Xuliang Zhou, Yejin Zhang y Jiaoqing Pan. "Multicore Photonic Complex-Valued Neural Network with Transformation Layer". Photonics 9, n.º 6 (28 de mayo de 2022): 384. http://dx.doi.org/10.3390/photonics9060384.
Texto completoFerreira de Lima, Thomas, Bhavin J. Shastri, Alexander N. Tait, Mitchell A. Nahmias y Paul R. Prucnal. "Progress in neuromorphic photonics". Nanophotonics 6, n.º 3 (11 de marzo de 2017): 577–99. http://dx.doi.org/10.1515/nanoph-2016-0139.
Texto completoPai, Sunil, Zhanghao Sun, Tyler W. Hughes, Taewon Park, Ben Bartlett, Ian A. D. Williamson, Momchil Minkov et al. "Experimentally realized in situ backpropagation for deep learning in photonic neural networks". Science 380, n.º 6643 (28 de abril de 2023): 398–404. http://dx.doi.org/10.1126/science.ade8450.
Texto completoFu, Chentao, Shuiying Xiang, Yanan Han, Ziwei Song y Yue Hao. "Multilayer Photonic Spiking Neural Networks: Generalized Supervised Learning Algorithm and Network Optimization". Photonics 9, n.º 4 (25 de marzo de 2022): 217. http://dx.doi.org/10.3390/photonics9040217.
Texto completoXia, Chengpeng, Yawen Chen, Haibo Zhang, Hao Zhang, Fei Dai y Jigang Wu. "Efficient neural network accelerators with optical computing and communication". Computer Science and Information Systems, n.º 00 (2022): 66. http://dx.doi.org/10.2298/csis220131066x.
Texto completoChristensen, Thomas, Charlotte Loh, Stjepan Picek, Domagoj Jakobović, Li Jing, Sophie Fisher, Vladimir Ceperic, John D. Joannopoulos y Marin Soljačić. "Predictive and generative machine learning models for photonic crystals". Nanophotonics 9, n.º 13 (29 de junio de 2020): 4183–92. http://dx.doi.org/10.1515/nanoph-2020-0197.
Texto completoZhang, Lulu, Yongzhi Zhang, Furong Liu, Qingyuan Chen, Yangbo Lian y Quanlong Ma. "On-Chip Photonic Synapses with All-Optical Memory and Neural Network Computation". Micromachines 14, n.º 1 (27 de diciembre de 2022): 74. http://dx.doi.org/10.3390/mi14010074.
Texto completoQuan, Zhiqiang, Yuanjian Wan y Jian Wang. "On-chip ultra-compact nonvolatile photonic synapse". Applied Physics Letters 121, n.º 17 (24 de octubre de 2022): 171102. http://dx.doi.org/10.1063/5.0115564.
Texto completoZhang, Qi, Zhuangzhuang Xing y Duan Huang. "Implementation of Pruned Backpropagation Neural Network Based on Photonic Integrated Circuits". Photonics 8, n.º 9 (30 de agosto de 2021): 363. http://dx.doi.org/10.3390/photonics8090363.
Texto completoJiang, Jiaqi y Jonathan A. Fan. "Multiobjective and categorical global optimization of photonic structures based on ResNet generative neural networks". Nanophotonics 10, n.º 1 (22 de septiembre de 2020): 361–69. http://dx.doi.org/10.1515/nanoph-2020-0407.
Texto completoFerreira de Lima, Thomas, Alexander N. Tait, Armin Mehrabian, Mitchell A. Nahmias, Chaoran Huang, Hsuan-Tung Peng, Bicky A. Marquez et al. "Primer on silicon neuromorphic photonic processors: architecture and compiler". Nanophotonics 9, n.º 13 (10 de agosto de 2020): 4055–73. http://dx.doi.org/10.1515/nanoph-2020-0172.
Texto completoMiscuglio, Mario, Jiawei Meng, Armin Mehrabian, Volker Sorger, Omer Yesiliurt, Ludmila Prokopeva, Alexander Kildishev, Yifei Zhang y Juejun Hu. "Artificial Synapse with Mnemonic Functionality using GSST-based Photonic Integrated Memory". Applied Computational Electromagnetics Society 35, n.º 11 (5 de febrero de 2021): 1447–49. http://dx.doi.org/10.47037/2020.aces.j.351192.
Texto completoTian, Ye, Yang Zhao, Shengping Liu, Qiang Li, Wei Wang, Junbo Feng y Jin Guo. "Scalable and compact photonic neural chip with low learning-capability-loss". Nanophotonics 11, n.º 2 (22 de diciembre de 2021): 329–44. http://dx.doi.org/10.1515/nanoph-2021-0521.
Texto completoAloafi, Tahani A., Azhari A. Elhag, Taghreed M. Jawa, Neveen Sayed-Ahmed, Fatimah S. Bayones, Jamel Bouslimi y Marin Marin. "Predication and Photon Statistics of a Three-Level System in the Photon Added Negative Binomial Distribution". Symmetry 14, n.º 2 (31 de enero de 2022): 284. http://dx.doi.org/10.3390/sym14020284.
Texto completoWang, Yan, Wei Cheng, Junbo Feng, Shengyin Zang, Hao Cheng, Zheng Peng, Xiaodong Ren et al. "Silicon photonic secure communication using artificial neural network". Chaos, Solitons & Fractals 163 (octubre de 2022): 112524. http://dx.doi.org/10.1016/j.chaos.2022.112524.
Texto completoZarei, Sanaz, Mahmood-reza Marzban y Amin Khavasi. "Integrated photonic neural network based on silicon metalines". Optics Express 28, n.º 24 (18 de noviembre de 2020): 36668. http://dx.doi.org/10.1364/oe.404386.
Texto completoSunny, Febin P., Asif Mirza, Mahdi Nikdast y Sudeep Pasricha. "ROBIN: A Robust Optical Binary Neural Network Accelerator". ACM Transactions on Embedded Computing Systems 20, n.º 5s (31 de octubre de 2021): 1–24. http://dx.doi.org/10.1145/3476988.
Texto completoArgyris, Apostolos. "Photonic neuromorphic technologies in optical communications". Nanophotonics 11, n.º 5 (19 de enero de 2022): 897–916. http://dx.doi.org/10.1515/nanoph-2021-0578.
Texto completoSheng, Huayi. "Review of Integrated Diffractive Deep Neural Networks". Highlights in Science, Engineering and Technology 24 (27 de diciembre de 2022): 264–78. http://dx.doi.org/10.54097/hset.v24i.3957.
Texto completoYang Lingyan, 杨凌雁 y 张林 Zhang Lin. "光蓄水池神经网络研究进展". Chinese Journal of Lasers 48, n.º 19 (2021): 1906001. http://dx.doi.org/10.3788/cjl202148.1906001.
Texto completoDe Marinis, Lorenzo, Marco Cococcioni, Odile Liboiron-Ladouceur, Giampiero Contestabile, Piero Castoldi y Nicola Andriolli. "Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators". Applied Sciences 11, n.º 13 (5 de julio de 2021): 6232. http://dx.doi.org/10.3390/app11136232.
Texto completoRoques-Carmes, Charles. "Learning photons go backward". Science 380, n.º 6643 (28 de abril de 2023): 341–42. http://dx.doi.org/10.1126/science.adh0724.
Texto completoSun, Yichen, Mingli Dong, Mingxin Yu, Jiabin Xia, Xu Zhang, Yuchen Bai, Lidan Lu y Lianqing Zhu. "Nonlinear All-Optical Diffractive Deep Neural Network with 10.6 μm Wavelength for Image Classification". International Journal of Optics 2021 (27 de febrero de 2021): 1–16. http://dx.doi.org/10.1155/2021/6667495.
Texto completoGao, Shuang, Shuiying Xiang, Ziwei Song, Yanan Han y Yue Hao. "All-optical Sudoku solver with photonic spiking neural network". Optics Communications 495 (septiembre de 2021): 127068. http://dx.doi.org/10.1016/j.optcom.2021.127068.
Texto completoEl-Mosalmy, Dalia D., M. F. O. Hameed, Nihal F. F. Areed y S. S. A. Obayya. "Novel neural network based optimization approach for photonic devices". Optical and Quantum Electronics 46, n.º 3 (16 de enero de 2014): 439–53. http://dx.doi.org/10.1007/s11082-013-9869-8.
Texto completoHsiao, Fu-Li, Hsin-Feng Lee, Su-Chao Wang, Yu-Ming Weng y Ying-Pin Tsai. "Artificial Neural Network for Photonic Crystal Band Structure Prediction in Different Geometric Parameters and Refractive Indexes". Electronics 12, n.º 8 (9 de abril de 2023): 1777. http://dx.doi.org/10.3390/electronics12081777.
Texto completoDang, Dharanidhar, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi Mahapatra y Debashis Sahoo. "BPLight-CNN: A Photonics-Based Backpropagation Accelerator for Deep Learning". ACM Journal on Emerging Technologies in Computing Systems 17, n.º 4 (31 de octubre de 2021): 1–26. http://dx.doi.org/10.1145/3446212.
Texto completoJiang, Yue, Wenjia Zhang, Fan Yang y Zuyuan He. "Photonic Convolution Neural Network Based on Interleaved Time-Wavelength Modulation". Journal of Lightwave Technology 39, n.º 14 (julio de 2021): 4592–600. http://dx.doi.org/10.1109/jlt.2021.3076070.
Texto completoHuang, Chaoran, Shinsuke Fujisawa, Thomas Ferreira de Lima, Alexander N. Tait, Eric C. Blow, Yue Tian, Simon Bilodeau et al. "A silicon photonic–electronic neural network for fibre nonlinearity compensation". Nature Electronics 4, n.º 11 (noviembre de 2021): 837–44. http://dx.doi.org/10.1038/s41928-021-00661-2.
Texto completoZhang, Tian, Jia Wang, Yihang Dan, Yuxiang Lanqiu, Jian Dai, Xu Han, Xiaojuan Sun y Kun Xu. "Efficient training and design of photonic neural network through neuroevolution". Optics Express 27, n.º 26 (9 de diciembre de 2019): 37150. http://dx.doi.org/10.1364/oe.27.037150.
Texto completoWang, Suhong, Shuiying Xiang, Genquan Han, Ziwei Song, Zhenxing Ren, Aijun Wen y Yue Hao. "Photonic Associative Learning Neural Network Based on VCSELs and STDP". Journal of Lightwave Technology 38, n.º 17 (1 de septiembre de 2020): 4691–98. http://dx.doi.org/10.1109/jlt.2020.2995083.
Texto completoBueno, J., S. Maktoobi, L. Froehly, I. Fischer, M. Jacquot, L. Larger y D. Brunner. "Reinforcement learning in a large-scale photonic recurrent neural network". Optica 5, n.º 6 (20 de junio de 2018): 756. http://dx.doi.org/10.1364/optica.5.000756.
Texto completoSkontranis, Menelaos, George Sarantoglou, Stavros Deligiannidis, Adonis Bogris y Charis Mesaritakis. "Time-Multiplexed Spiking Convolutional Neural Network Based on VCSELs for Unsupervised Image Classification". Applied Sciences 11, n.º 4 (3 de febrero de 2021): 1383. http://dx.doi.org/10.3390/app11041383.
Texto completoXu, Xiaofeng, Lianqing Zhu, Wei Zhuang, Lidan Lu y Pei Yuan. "A Convolution Neural Network Implemented by Three 3 × 3 Photonic Integrated Reconfigurable Linear Processors". Photonics 9, n.º 2 (29 de enero de 2022): 80. http://dx.doi.org/10.3390/photonics9020080.
Texto completoLi, Renjie, Xiaozhe Gu, Yuanwen Shen, Ke Li, Zhen Li y Zhaoyu Zhang. "Smart and Rapid Design of Nanophotonic Structures by an Adaptive and Regularized Deep Neural Network". Nanomaterials 12, n.º 8 (16 de abril de 2022): 1372. http://dx.doi.org/10.3390/nano12081372.
Texto completoVan der Sande, Guy, Daniel Brunner y Miguel C. Soriano. "Advances in photonic reservoir computing". Nanophotonics 6, n.º 3 (12 de mayo de 2017): 561–76. http://dx.doi.org/10.1515/nanoph-2016-0132.
Texto completoFornarelli, G., L. Mescia, F. Prudenzano, M. De Sario y F. Vacca. "A neural network model of erbium-doped photonic crystal fibre amplifiers". Optics & Laser Technology 41, n.º 5 (julio de 2009): 580–85. http://dx.doi.org/10.1016/j.optlastec.2008.10.010.
Texto completoChang, Wei-Shan, Ying-Pin Tsai, Chi-Tsung Chiang y Fu-Li Hsiao. "Using Autoencoder Artificial Neural Network to Predict Photonic Crystal Band Structure". Sensors and Materials 35, n.º 8 (31 de agosto de 2023): 3045. http://dx.doi.org/10.18494/sam4514.
Texto completoGuo Pengxing, 郭鹏星, 刘志远 Liu Zhiyuan, 侯维刚 Hou Weigang y 郭磊 Guo Lei. "相变材料辅助的光子卷积神经网络加速器". Acta Optica Sinica 43, n.º 4 (2023): 0415001. http://dx.doi.org/10.3788/aos221329.
Texto completoChen, Ying, Teng Liu, Wenyue Wang, Qiguang Zhu y Weihong Bi. "Refractive index sensing performance analysis of photonic crystal Mach–Zehnder interferometer based on BP neural network optimization". Modern Physics Letters B 29, n.º 10 (20 de abril de 2015): 1550040. http://dx.doi.org/10.1142/s0217984915500402.
Texto completoBile, Alessandro, Hamed Tari y Eugenio Fazio. "Episodic Memory and Information Recognition Using Solitonic Neural Networks Based on Photorefractive Plasticity". Applied Sciences 12, n.º 11 (31 de mayo de 2022): 5585. http://dx.doi.org/10.3390/app12115585.
Texto completoHooten, Sean, Raymond G. Beausoleil y Thomas Van Vaerenbergh. "Inverse design of grating couplers using the policy gradient method from reinforcement learning". Nanophotonics 10, n.º 15 (7 de octubre de 2021): 3843–56. http://dx.doi.org/10.1515/nanoph-2021-0332.
Texto completoShi, Bin, Nicola Calabretta y Ripalta Stabile. "Numerical Simulation of an InP Photonic Integrated Cross-Connect for Deep Neural Networks on Chip". Applied Sciences 10, n.º 2 (9 de enero de 2020): 474. http://dx.doi.org/10.3390/app10020474.
Texto completoSharma, Sunil y Lokesh Tharani. "Use of AI Techniques on Photonic Crystal Sensing for the Detection of Tumor". Journal of Electronics, Electromedical Engineering, and Medical Informatics 4, n.º 2 (29 de abril de 2022): 62–69. http://dx.doi.org/10.35882/jeeemi.v4i2.2.
Texto completoKumar, Hardik, Tanya Jain, Mritunjay Sharma y Kamal Kishor. "Neural network approach for faster optical properties predictions for different PCF designs". Journal of Physics: Conference Series 2070, n.º 1 (1 de noviembre de 2021): 012001. http://dx.doi.org/10.1088/1742-6596/2070/1/012001.
Texto completoXiang, Shuiying, Zhenxing Ren, Yahui Zhang, Ziwei Song, Xingxing Guo, Genquan Han y Yue Hao. "Training a Multi-Layer Photonic Spiking Neural Network With Modified Supervised Learning Algorithm Based on Photonic STDP". IEEE Journal of Selected Topics in Quantum Electronics 27, n.º 2 (marzo de 2021): 1–9. http://dx.doi.org/10.1109/jstqe.2020.3005589.
Texto completoShi, Bin, Nicola Calabretta y Ripalta Stabile. "Deep Neural Network Through an InP SOA-Based Photonic Integrated Cross-Connect". IEEE Journal of Selected Topics in Quantum Electronics 26, n.º 1 (enero de 2020): 1–11. http://dx.doi.org/10.1109/jstqe.2019.2945548.
Texto completoWei, Pu, Cheng Cheng y Tingting Liu. "A Photonic Transducer-Based Optical Current Sensor Using Back-Propagation Neural Network". IEEE Photonics Technology Letters 28, n.º 14 (15 de julio de 2016): 1513–16. http://dx.doi.org/10.1109/lpt.2016.2557339.
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