Innovative workflows - the agenda
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 of 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 and explore common approaches for innovative workflows.
Interactive format and contributions
The workshop aims to increase exchange and discussions between the participants. In addition to the presentations in the main sessions, all registrants are therefore invited to share their work in open interactive sessions.
Technical support and uploads
For any questions on technical support, please contact escape.iwapp@gmail.com.
If you would like to upload material to your contribution and cannot access your contribution, you can also drop your files (named name_contribution.format, eg. Jones_presentation.pdf) in this folder.
