# Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives

arXiv: https://arxiv.org/abs/2306.16834 · HTML: https://mlsanity.com/paper/2306.16834/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 173 references that are in the map.
- First posted on arXiv 29 Jun 2023.

## Builds on (most cited first, 8 of 8)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [SciBERT: A Pretrained Language Model for Scientific Text](https://mlsanity.com/paper/1903.10676/) (2019)
- [Scalable End-to-end Recurrent Neural Network for Variable star classification](https://mlsanity.com/paper/2002.00994/) (2020)
- [Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope](https://mlsanity.com/paper/2107.00048/) (2021)
- [Supervised detection of anomalous light-curves in massive astronomical catalogs](https://mlsanity.com/paper/1404.4888/) (2014)
- [Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data](https://mlsanity.com/paper/2011.10243/) (2020)
- [RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks](https://mlsanity.com/paper/2012.01985/) (2020)
- [A Machine Learning approach for correcting radial velocities using physical observables](https://mlsanity.com/paper/2301.12872/) (2023)

## Abstract (arXiv)

Artificial intelligence technology has been widely used in astronomy, and new artificial intelligence technologies and application scenarios are constantly emerging. There have been a large number of papers reviewing the application of artificial intelligence technology in astronomy. However, relevant articles seldom mention telescope intelligence separately, and it is difficult to understand the current development status and research hotspots of telescope intelligence from these papers. This paper combines the development history of artificial intelligence technology and the difficulties of critical technologies of telescopes, comprehensively introduces the development and research hotspots of telescope intelligence, then conducts statistical analysis on various research directions of telescope intelligence and defines the research directions' merits. All kinds of research directions are evaluated, and the research trend of each telescope's intelligence is pointed out. Finally, according to the advantages of artificial intelligence technology and the development trend of telescopes, future research hotspots of telescope intelligence are given.