Data Learning on Manifolds and Future Challenges (DEDALE) is an international and multidisciplinary collaboration funded by the Horizon 2020 Future Emerging Technologies programme. The three year project aims to design novel techniques for analysing large and complicated data sets with specific applications in astrophysics and remote sensing. The team is comprised of five partner institutes in four different countries: CEA (France), FORTH (Greece), UCL (UK), TUB (Germany) and Safran (France). Each partner brings diverse expertise to the project in fields such as signal processing, machine learning, mathematics and cosmology.
Find out more about the project and get direct access to DEDALE publications and software on the DEDALE website.