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

被引:0
|
作者
Huang, Kang [1 ,2 ,3 ]
Hu, Tianzhu [1 ,2 ]
Cai, Jingyi [1 ,2 ]
Pan, Xiushan [1 ,2 ,3 ]
Hou, Yonghui [1 ,2 ,3 ]
Xu, Lingzhe [1 ,2 ]
Wang, Huaiqing [1 ,2 ]
Zhang, Yong [1 ,2 ,4 ]
Cui, Xiangqun [1 ,2 ]
机构
[1] Chinese Acad Sci, Nanjing Inst Astron Opt & Technol, Nanjing 210042, Peoples R China
[2] Chinese Acad Sci, Nanjing Inst Astron Opt & Technol, Key Lab Astron Opt & Technol, Nanjing 210042, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
关键词
telescope intelligence; artificial intelligence; site selection; observation schedule; database intelligence; WAVE-FRONT SENSOR; RECURRENT NEURAL-NETWORKS; PHOTOMETRIC REDSHIFTS; STELLAR PARAMETERS; SITE SELECTION; PISTON ERROR; MACHINE; TURBULENCE; DOME; CLASSIFICATION;
D O I
10.3390/universe10050210
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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.
引用
收藏
页数:28
相关论文
共 50 条
  • [1] Artificial intelligence in endoscopy: Present and future perspectives
    Sumiyama, Kazuki
    Futakuchi, Toshiki
    Kamba, Shunsuke
    Matsui, Hiroaki
    Tamai, Naoto
    [J]. DIGESTIVE ENDOSCOPY, 2021, 33 (02) : 218 - 230
  • [2] Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy
    Kamitani, Yu
    Nonaka, Kouichi
    Isomoto, Hajime
    [J]. JOURNAL OF CLINICAL MEDICINE, 2022, 11 (10)
  • [3] Artificial intelligence in neuropathology: Current status and future perspectives
    Vazhayil, Vikas
    [J]. INDIAN JOURNAL OF PATHOLOGY AND MICROBIOLOGY, 2022, 65 (05) : 226 - 229
  • [4] Artificial Intelligence in Urology Current Status and Future Perspectives
    Abid, Rayyan
    Hussein, Ahmed A.
    Guru, Khurshid A.
    [J]. UROLOGIC CLINICS OF NORTH AMERICA, 2024, 51 (01) : 117 - 130
  • [5] Artificial Intelligence in Ophthalmology - Status Quo and Future Perspectives
    Matos, Philomena A. Wawer
    Reimer, Robert P.
    Rokohl, Alexander C.
    Caldeira, Liliana
    Heindl, Ludwig M.
    Hokamp, Nils Grosse
    [J]. SEMINARS IN OPHTHALMOLOGY, 2023, 38 (03) : 226 - 237
  • [6] Artificial intelligence and colonoscopy: Current status and future perspectives
    Kudo, Shin-ei
    Mori, Yuichi
    Misawa, Masashi
    Takeda, Kenichi
    Kudo, Toyoki
    Itoh, Hayato
    Oda, Masahiro
    Mori, Kensaku
    [J]. DIGESTIVE ENDOSCOPY, 2019, 31 (04) : 363 - 371
  • [7] Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives
    Quero, Giuseppe
    Mascagni, Pietro
    Kolbinger, Fiona R.
    Fiorillo, Claudio
    De Sio, Davide
    Longo, Fabio
    Schena, Carlo Alberto
    Laterza, Vito
    Rosa, Fausto
    Menghi, Roberta
    Papa, Valerio
    Tondolo, Vincenzo
    Cina, Caterina
    Distler, Marius
    Weitz, Juergen
    Speidel, Stefanie
    Padoy, Nicolas
    Alfieri, Sergio
    [J]. CANCERS, 2022, 14 (15)
  • [8] Artificial intelligence in drug development: present status and future prospects
    Mak, Kit-Kay
    Pichika, Mallikarjuna Rao
    [J]. DRUG DISCOVERY TODAY, 2019, 24 (03) : 773 - 780
  • [9] Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives
    Bektas, Mustafa
    Reiber, Beata M. M.
    Pereira, Jaime Costa
    Burchell, George L.
    van der Peet, Donald L.
    [J]. OBESITY SURGERY, 2022, 32 (08) : 2772 - 2783
  • [10] Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives
    Mustafa Bektaş
    Beata M. M. Reiber
    Jaime Costa Pereira
    George L. Burchell
    Donald L. van der Peet
    [J]. Obesity Surgery, 2022, 32 : 2772 - 2783