The workshop is postponed due to restrictions from the Corona crises. The currently displayed date is not yet considered final.
The use of machine and deep learning techniques has become increasingly common in scientific communities. The large amount of data to analyze and the need for real-time analysis are driving the search for cutting-edge techniques and new data analysis paradigms.
Especially the field of deep learning for event-based, image-based and signal-based applications for two and higher dimensions has been intensively followed by expert groups within the ESFRIs and will be deployed to the EOSC via ESCAPE.
The objective of this workshop is to bring together the scientists' communities of Astrophysics, Astroparticle Physics and Particle Physics who are leading the development of Innovative Workflows within their domain.