Recent progress in analog memory-based accelerators for deep learning von Tsai, Hsinyu, Ambrogio, Stefano, Narayanan, Pritish, Shelby, Robert M, Burr, Geoffrey W

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Resistive switching materials for information processing von Wang, Zhongrui, Wu, Huaqiang, Burr, Geoffrey W., Hwang, Cheol Seong, Wang, Kang L., Xia, Qiangfei, Yang, J. Joshua

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Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element von Burr, Geoffrey W., Shelby, Robert M., Sidler, Severin, di Nolfo, Carmelo, Junwoo Jang, Boybat, Irem, Shenoy, Rohit S., Narayanan, Pritish, Virwani, Kumar, Giacometti, Emanuele U., Kurdi, Bulent N., Hyunsang Hwang

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Diabolo Nanoantenna for Enhancing and Confining the Magnetic Optical Field von Grosjean, T, Mivelle, M, Baida, F. I, Burr, G. W, Fischer, U. C

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Neuromorphic computing using non-volatile memory von Burr, Geoffrey W., Shelby, Robert M., Sebastian, Abu, Kim, Sangbum, Kim, Seyoung, Sidler, Severin, Virwani, Kumar, Ishii, Masatoshi, Narayanan, Pritish, Fumarola, Alessandro, Sanches, Lucas L., Boybat, Irem, Le Gallo, Manuel, Moon, Kibong, Woo, Jiyoo, Hwang, Hyunsang, Leblebici, Yusuf

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Phase-change memory cycling endurance von Kim, SangBum, Burr, Geoffrey W., Kim, Wanki, Nam, Sung-Wook

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Improving accuracy by subpixel smoothing in the finite- difference time domain von FARJADPOUR, A, ROUNDY, David, RODRIGUEZ, Alejandro, IBANESCU, M, BERMEL, Peter, JOANNOPOULOS, J. D, JOHNSON, Steven G, BURR, G. W

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Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators von Rasch, Malte J., Mackin, Charles, Le Gallo, Manuel, Chen, An, Fasoli, Andrea, Odermatt, Frédéric, Li, Ning, Nandakumar, S. R., Narayanan, Pritish, Tsai, Hsinyu, Burr, Geoffrey W., Sebastian, Abu, Narayanan, Vijay

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Recent Progress in Phase-Change Memory Technology von Burr, Geoffrey W., BrightSky, Matthew J., Sebastian, Abu, Huai-Yu Cheng, Jau-Yi Wu, Sangbum Kim, Sosa, Norma E., Papandreou, Nikolaos, Hsiang-Lan Lung, Pozidis, Haralampos, Eleftheriou, Evangelos, Lam, Chung H.

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Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format von Narayanan, P., Ambrogio, S., Okazaki, A., Hosokawa, K., Tsai, H., Nomura, A., Yasuda, T., Mackin, C., Lewis, S. C., Friz, A., Ishii, M., Kohda, Y., Mori, H., Spoon, K., Khaddam-Aljameh, R., Saulnier, N., Bergendahl, M., Demarest, J., Brew, K. W., Chan, V., Choi, S., Ok, I., Ahsan, I., Lie, F. L., Haensch, W., Narayanan, V., Burr, G. W.

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Optimised weight programming for analogue memory-based deep neural networks von Mackin, Charles, Rasch, Malte J., Chen, An, Timcheck, Jonathan, Bruce, Robert L., Li, Ning, Narayanan, Pritish, Ambrogio, Stefano, Le Gallo, Manuel, Nandakumar, S. R., Fasoli, Andrea, Luquin, Jose, Friz, Alexander, Sebastian, Abu, Tsai, Hsinyu, Burr, Geoffrey W.

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Access devices for 3D crosspoint memory von Burr, Geoffrey W., Shenoy, Rohit S., Virwani, Kumar, Narayanan, Pritish, Padilla, Alvaro, Kurdi, Bülent, Hwang, Hyunsang

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Observation of the Role of Subcritical Nuclei in Crystallization of a Glassy Solid von Lee, Bong-Sub, Burr, Geoffrey W, Shelby, Robert M, Raoux, Simone, Rettner, Charles T, Bogle, Stephanie N, Darmawikarta, Kristof, Bishop, Stephen G, Abelson, John R

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Nanoscale nuclei in phase change materials: Origin of different crystallization mechanisms of Ge2Sb2Te5 and AgInSbTe von Lee, Bong-Sub, Shelby, Robert M., Raoux, Simone, Retter, Charles T., Burr, Geoffrey W., Bogle, Stephanie N., Darmawikarta, Kristof, Bishop, Stephen G., Abelson, John R.

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A role for optics in AI hardware von Burr, Geoffrey W.

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Tutorial: Brain-inspired computing using phase-change memory devices von Sebastian, Abu, Le Gallo, Manuel, Burr, Geoffrey W., Kim, Sangbum, BrightSky, Matthew, Eleftheriou, Evangelos

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A Baseline for Multiple-Choice Testing in the University Classroom von Slepkov, A. D., Van Bussel, M. L., Fitze, K. M., Burr, W. S.

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Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements von Moon, Kibong, Fumarola, Alessandro, Sidler, Severin, Jang, Junwoo, Narayanan, Pritish, Shelby, Robert M., Burr, Geoffrey W., Hwang, Hyunsang

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Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices von Spoon, Katie, Tsai, Hsinyu, Chen, An, Rasch, Malte J., Ambrogio, Stefano, Mackin, Charles, Fasoli, Andrea, Friz, Alexander M., Narayanan, Pritish, Stanisavljevic, Milos, Burr, Geoffrey W.

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Strong Modification of Magnetic Dipole Emission through Diabolo Nanoantennas von Mivelle, Mathieu, Grosjean, Thierry, Burr, Geoffrey W, Fischer, Ulrich C, Garcia-Parajo, Maria F

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