Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Tiankuang Zhou"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Calculus equations serve as fundamental frameworks in mathematics, enabling describing an extensive range of natural phenomena and scientific principles, such as thermodynamics and electromagnetics. Analog computing with electromagnetic wave
Externí odkaz:
https://doaj.org/article/c4de70475edf4c2fa12e7831528a439a
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Scalable, high-capacity, and low-power computing architecture is the primary assurance for increasingly manifold and large-scale machine learning tasks. Traditional electronic artificial agents by conventional power-hungry processors have fa
Externí odkaz:
https://doaj.org/article/64955bb6c13744b2a6c908bb954514ea
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their potential for parallelization, power efficiency, and speed. Diffractive neural networks, which process information by propagating encoded light through
Externí odkaz:
https://doaj.org/article/3b090c99a04043d9900fe57711d039f9
Publikováno v:
Light: Science & Applications, Vol 11, Iss 1, Pp 1-13 (2022)
We develop Monet: a multichannel optical neural network architecture for a universal multiple-input multiple-channel optical computing based on a novel projection-interference-prediction framework, solving real-world advanced machine vision tasks opt
Externí odkaz:
https://doaj.org/article/225c67844afa476fa386b0735d6f67ce
Publikováno v:
Membranes, Vol 11, Iss 8, p 634 (2021)
High-speed, optical-sectioning imaging is highly desired in biomedical studies, as most bio-structures and bio-dynamics are in three-dimensions. Compared to point-scanning techniques, line scanning temporal focusing microscopy (LSTFM) is a promising
Externí odkaz:
https://doaj.org/article/957fe4f072d54e73802024f2a4ede5f6
Autor:
Zhihao Xu1,2,3, Tiankuang Zhou1,2,4, Muzhou Ma1, ChenChen Deng2, Qionghai Dai2,4,5 daiqionghai@tsinghua.edu.cn, Lu Fang1,2,4
Publikováno v:
Science. 4/12/2024, Vol. 384 Issue 6692, p202-209. 8p. 4 Color Photographs.
Autor:
Tao Yan1, Tiankuang Zhou2,3, Yanchen Guo1,4, Yun Zhao1,4, Guocheng Shao1,4, Jiamin Wu1,3,5, Ruqi Huang4 ruqihuang@sz.tsinghua.edu.cn, Qionghai Dai1,3,5 qhdai@tsinghua.edu.cn, Lu Fang2,3,5 fanglu@tsinghua.edu.cn
Publikováno v:
Science Advances. 7/5/2024, Vol. 10 Issue 27, p1-12. 12p.
Publikováno v:
Science Advances. 9
Following the explosive growth of global data, there is an ever-increasing demand for high-throughput processing in image transmission systems. However, existing methods mainly rely on electronic circuits, which severely limits the transmission throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e0440da7affdbf20bf5d23497ecc7a6
https://doi.org/10.1126/sciadv.adf8437
https://doi.org/10.1126/sciadv.adf8437
Publikováno v:
IEEE Transactions on Cybernetics. 51:451-461
Face restoration from low resolution and noise is important for applications of face analysis recognition. However, most existing face restoration models omit the multiple scale issues in the face restoration problem, which is still not well solved i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::796cd0b9a86761fb8762b10aa02d351f
https://doi.org/10.1109/tcyb.2018.2889791
https://doi.org/10.1109/tcyb.2018.2889791
Autor:
Tiankuang Zhou1,2,3,4, Wei Wu1, Jinzhi Zhang1,4, Shaoliang Yu5, Lu Fang1,3,6 fanglu@tsinghua.edu.cn
Publikováno v:
Science Advances. 6/9/2023, Vol. 9 Issue 23, p1-13. 13p.