Events


ML4ASTRO - MACHINE LEARNING for ASTROPHYSICS

8-12 July 2024 | Catania

The event is focusing on the application of ML/DL techniques to observational and simulation data in astronomy. The conference is conceived as a periodic event where AI scientists and astronomers can take stock of the state of a rapidly evolving field, and as a stimulating environment fostering discussion and the emergence of new ideas and collaborations, particularly for young researchers.
The scientific program will be organized in several sessions including invited reviews, contributed talks, poster flash talks) and plentiful time for discussion. SPACE CoE is planning to have a dedicated session to present Machine Learning and visualization tools identified for the project activities.

ML4ASTRO - MACHINE LEARNING for ASTROPHYSICS web site

ML4ASTRO - SPACE SESSION


Towards exascale-ready astrophysics

2024, 25-27 September | Virtual meeting

Exascale computing represents a transformative tool enabling researchers to better model and analyse complex systems, thereby enhancing scientific discovery. With a strong emphasis on numerical simulations in astrophysics, this workshop aims to present the latest developments in exascale technology and its applications within the field of astrophysics research. By bringing together scientists, code developers, and high-performance computing (HPC) experts, this workshop aims to discuss current challenges and future opportunities in utilising exascale computing for astrophysics and cosmology.
The workshop will feature a mix of invited, contributed, and poster presentations, as well as interactive tutorials focusing on astrophysics simulation codes, high-performance computing, machine learning, and data analytics. Attendees will have opportunities for knowledge sharing, discussing innovative ideas, and fostering collaborations through technical talks, hands-on training sessions, and networking events. We strongly encourage female and early career researchers to participate, as their unique perspectives and contributions are invaluable to our discussions.

The call for abstracts is open. You can submit your abstract for reviewing.

The participation is free of charge. Register here.

Towards exascale-ready astrophysics web site