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Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Andreas Boes, Thach Giang Nguyen, Sai Tak Chu, Brent E. Little, Damien G. Hicks, Roberto Morandotti, Arnan Mitchell, David Moss
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Xu, X., Tan, M., Corcoran, B., Wu, J., Boes, A., Nguyen, T. G., Chu, S. T., Little, B. E., Hicks, D. G., Morandotti, R., Mitchell, A., & Moss, D. (2021). 11 TOPS photonic convolutional accelerator for optical neural networks. Nature, 589(7840), 44–51. https://doi.org/10.1038/s41586-020-03063-0
Xu, Xingyuan, et al. "11 TOPS photonic convolutional accelerator for optical neural networks." Nature, vol. 589, no. 7840, 2021, pp. 44–51, https://doi.org/10.1038/s41586-020-03063-0.
Xu, Xingyuan, Mengxi Tan, Bill Corcoran, Jiayang Wu, Andreas Boes, Thach Giang Nguyen, Sai Tak Chu, et al. "11 TOPS photonic convolutional accelerator for optical neural networks." Nature 589, no. 7840 (2021): 44–51. https://doi.org/10.1038/s41586-020-03063-0.
Xu X., Tan M., Corcoran B. [и др.] 11 TOPS photonic convolutional accelerator for optical neural networks // Nature. — 2021. — Vol. 589, № 7840. — P. 44–51. — URL: https://doi.org/10.1038/s41586-020-03063-0
@article{xu2021tops,
title = {{11 TOPS photonic convolutional accelerator for optical neural networks}},
author = {Xingyuan Xu and Mengxi Tan and Bill Corcoran and Jiayang Wu and Andreas Boes and Thach Giang Nguyen and Sai Tak Chu and Brent E. Little and Damien G. Hicks and Roberto Morandotti and Arnan Mitchell and David Moss},
journal = {Nature},
year = {2021},
volume = {589},
number = {7840},
pages = {44--51},
doi = {10.1038/s41586-020-03063-0},
url = {https://doi.org/10.1038/s41586-020-03063-0}
}TY - JOUR AU - Xu, Xingyuan AU - Tan, Mengxi AU - Corcoran, Bill AU - Wu, Jiayang AU - Boes, Andreas AU - Nguyen, Thach Giang AU - Chu, Sai Tak AU - Little, Brent E. AU - Hicks, Damien G. AU - Morandotti, Roberto AU - Mitchell, Arnan AU - Moss, David TI - 11 TOPS photonic convolutional accelerator for optical neural networks JO - Nature VL - 589 IS - 7840 SP - 44 EP - 51 PY - 2021 DA - 2021/01/06 DO - 10.1038/s41586-020-03063-0 UR - https://doi.org/10.1038/s41586-020-03063-0 ER -
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