Catania & online, 30/05-1/06/2022.

NEANIAS Space team supported the International Conference on Machine Learning for Astrophysics (ML4ASTRO), held in Catania.

The conference aims to bring together researchers involved in the application and design of machine learning techniques for astronomical data and problems. In the view of the forthcoming Big Data era for the astronomy community, the conference focused on challenges emerging from the application of ML/DL methods to open problems in astrophysics: novel AI techniques was presented and joint discussions on their use with observational data was fostered.

Many topics related to NEANIAS project, such as 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 or Computing infrastructures and devices for Artificial Intelligence, were discussed, among others.

INAF represented NEANIAS and presented the work “Integration and deployment of Model Serving Framework to serve machine learning models at production scale in easy way”.

All the details at https://indico.ict.inaf.it/e/ml4astro