SUBMIT ONLINE: https://www.easychair.org/conferences/?conf=prai2026  (Please choose Special Session 9)

In the new era of data-driven astronomy, telescopes are continuously generating massive volumes of observational data, placing us in an unprecedented deluge of information. With these vast, complex, and high-dimensional datasets, artificial intelligence is becoming the golden key to unlock the new cosmic door. From using convolutional neural networks to automatically identify gravitational lenses, to employing generative adversarial networks to reconstruct the large-scale structure of the universe; from accurately estimating galaxy redshifts based on machine learning, to real-time classification of transient sources in time-domain astronomy through deep learning models--artificial intelligence has gradually transformed from an "auxiliary tool" in astrophysical research into a "core engine." It not only dramatically improves the efficiency of data processing but also helps us discover novel physical laws and reshapes the way we perceive the cosmos. Through this conference, we aim to bring together top-tier expertise from around the world to explore the wide-ranging applications of artificial intelligence in astrophysical research and to promote deep interdisciplinary integration.

Chair:	Chair:	Chair:
Prof. Yong-Feng Huang School of Astronomy and Space Science, Nanjing University, China hyf@nju.edu.cn	Prof. Maria Giovanna Dainotti National Astronomical Observatory, Japan mariagiovannadainotti@yahoo.it	Prof. Pei Wang National Astronomical Observatories, Chinese Academy of Sciences, China wangpei@nao.cas.cn

RELATED TOPICS
Topics of interest include, but are not limited to:

• (1) AI-driven large-scale observational data processing and analysis methods: applications in multi-wavelength, multi-messenger facilities
  (2) Applications of AI in time-domain astronomy: autonomous search and identification of various transient sources
  (3) Intelligent analysis of astronomical spectra and images: deep learning-based parameter measurement, classification, and anomaly detection
  (4) AI for astrophysics theory: accelerating numerical simulations, constructing models, and testing theories
  (5) Applications of large language models in astronomical research: scientific literature mining, automated observation and programming

IMPORTANT DATE
Final Submission Deadline: July 05, 2026
Final Notification Date: July 20, 2026
Final Registration Deadline: July 25, 2026