In the view of the forthcoming Big Data era for the astronomy community, the conference focuses on challenges coming from the application of ML/DL methods to open problems in astrophysics: novel AI techniques will be presented and joint discussions on their use with observational data will be fostered.
Topics: Supervised/Unsupervised/Semi-supervised Learning, Deep learning, Active Learning, Image segmentation, object detection and classification, Anomaly discovery, Data preparation, generation and augmentation, Time series analysis, transients , Classification and regression, Data mining, Software tools and services for machine learning , Computing infrastructures and devices for Artificial Intelligence