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Review

Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives

by
Kang Huang
1,2,3,
Tianzhu Hu
1,2,*,
Jingyi Cai
1,2,
Xiushan Pan
1,2,3,
Yonghui Hou
1,2,3,
Lingzhe Xu
1,2,
Huaiqing Wang
1,2,
Yong Zhang
1,2,4,* and
Xiangqun Cui
1,2,*
1
Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences, Nanjing 210042, China
2
CAS Key Laboratory of Astronomical Optics & Technology, Nanjing Institute of Astronomical Optics & Technology, Nanjing 210042, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China
*
Authors to whom correspondence should be addressed.
Universe 2024, 10(5), 210; https://doi.org/10.3390/universe10050210
Submission received: 13 March 2024 / Revised: 19 April 2024 / Accepted: 3 May 2024 / Published: 8 May 2024
(This article belongs to the Section Space Science)
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Abstract

With new artificial intelligence (AI) technologies and application scenarios constantly emerging, AI technology has become widely used in astronomy and has promoted notable progress in related fields. A large number of papers have reviewed the application of AI technology in astronomy. However, relevant articles seldom mention telescope intelligence separately, and it is difficult to understand the current development status of and research hotspots in telescope intelligence from these papers. This paper combines the development history of AI technology and difficulties with critical telescope technologies, comprehensively introduces the development of and research hotspots in telescope intelligence, conducts a statistical analysis of various research directions in telescope intelligence, and defines the merits of these research directions. A variety of research directions are evaluated, and research trends in each type of telescope intelligence are indicated. Finally, according to the advantages of AI technology and trends in telescope development, potential future research hotspots in the field of telescope intelligence are given.
Keywords: telescope intelligence; artificial intelligence; site selection; observation schedule; database intelligence telescope intelligence; artificial intelligence; site selection; observation schedule; database intelligence

Share and Cite

MDPI and ACS Style

Huang, K.; Hu, T.; Cai, J.; Pan, X.; Hou, Y.; Xu, L.; Wang, H.; Zhang, Y.; Cui, X. Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives. Universe 2024, 10, 210. https://doi.org/10.3390/universe10050210

AMA Style

Huang K, Hu T, Cai J, Pan X, Hou Y, Xu L, Wang H, Zhang Y, Cui X. Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives. Universe. 2024; 10(5):210. https://doi.org/10.3390/universe10050210

Chicago/Turabian Style

Huang, Kang, Tianzhu Hu, Jingyi Cai, Xiushan Pan, Yonghui Hou, Lingzhe Xu, Huaiqing Wang, Yong Zhang, and Xiangqun Cui. 2024. "Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives" Universe 10, no. 5: 210. https://doi.org/10.3390/universe10050210

APA Style

Huang, K., Hu, T., Cai, J., Pan, X., Hou, Y., Xu, L., Wang, H., Zhang, Y., & Cui, X. (2024). Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives. Universe, 10(5), 210. https://doi.org/10.3390/universe10050210

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