{"id":2682,"date":"2026-04-24T10:38:29","date_gmt":"2026-04-24T08:38:29","guid":{"rendered":"https:\/\/uscc.inaf.it\/?p=2682"},"modified":"2026-04-24T13:27:02","modified_gmt":"2026-04-24T11:27:02","slug":"3rd-edition-of-the-international-conference-on-machine-learning-for-astrophysics-ml4astro3","status":"publish","type":"post","link":"https:\/\/uscc.inaf.it\/en\/2026\/04\/24\/3rd-edition-of-the-international-conference-on-machine-learning-for-astrophysics-ml4astro3\/","title":{"rendered":"3rd Edition\u00a0of the\u00a0International Conference on Machine Learning for Astrophysics (ML4ASTRO3)"},"content":{"rendered":"

Valletta, Malta, from 31 August to 4 September 2026.<\/strong>.<\/em><\/p>\n\n\n\n

As in the previous two editions, the conference will focus on the application of Machine Learning (ML) and Deep Learning (DL) techniques to observational and simulation data in astronomy.<\/p>\n\n\n\n

The conference is conceived as a periodic event where AI scientists and astronomers can take stock of the state of this rapidly evolving field. It aims to provide a stimulating environment that fosters discussion and promotes the emergence of new ideas and collaborations, particularly among young researchers.<\/p>\n\n\n\n

The scientific program will include invited review talks, contributed talks, poster flash talks, and ample time for discussion.<\/p>\n\n\n\n

We welcome abstract submissions for oral presentations and poster flash talks, covering a broad range of topics at the intersection of machine learning and astrophysics.<\/p>\n\n\n\n

While remote participation will be available, we warmly invite speakers to attend in person to fully benefit from the conference\u2019s collaborative and networking opportunities.<\/p>\n\n\n\n

In addition to the scientific program, cultural and social events will also be organized.<\/p>\n\n\n\n

SCIENTIFIC HIGHLIGHTS<\/h6>\n\n\n\n