EU-funded researchers have helped generate the most accurate map to date of dark matter, the mysterious substance that makes up 80 % of the universe. The innovative big-data technologies they used will have a significant impact on fields as diverse as astrophysics and biomedical imaging. Read more >>>

EC Success Story

Big Data hands over the keys to understanding the dark universe Big Data could hold the key to some of the most complex phenomena described in science – provided that we can make sense of its dizzying quantities of information. The DEDALE project developed algorithms enabling just that and used them to measure the amount […]


DEDALE: MATHEMATICAL TOOLS TO HELP NAVIGATE THE BIG DATA MAZE Big Data have become essential for science and technological advancement. The DEDALE project is developing new analysis methods to work on them

FETFX Article

EUSIPCO 2017 Special Session A DEDALE paper on "A Distributed Learning Architecture for Big Imaging Problems in Astrophysics" will be presented during a special session on "Machine And Signal Learning For Big Data" (SS13) at the EUSIPCO 2017 meeting in Kos. The full technical programme is available here.

EUSIPCO 2017 Special Session

DEDALE provides analysis methods to find the right data ​A key challenge in cosmological research is how to extract the most important information from satellite imagery and radio signals. The difficulty lies in the systematic processing of extremely noisy data for studying how stars and galaxies evolve through time. This is critical for astrophysicists in […]

CEA News Article

New project video! A new video highlighting some of the project activities currently being carried out at FORTH has been uploaded to the About page. Have a look below to find out about these exciting developments.

New project video!

DEDALE Tutorial Day Date: 16th November 2016 Venue: Copernic Room - CEA, Saclay Agenda | Participants Given the multidisciplinary nature of DEDALE, many of the project members have diverse backgrounds and different areas of expertise. The tutorial day will provide an opportunity for younger researchers to learn some new skills and concepts from fields different from their own. The […]

DEDALE Tutorial Day

HaarPSI A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment The authors Sebastian Bosse, Gitta Kutyniok, Rafael Reisenhofer, and Thomas Wiegand introduce with the Haar wavelet-based perceptual similarity index (HaarPSI) a novel and easy-to-compute similarity measure for full reference image quality assessment, which in addition achieves higher correlations with human opinion scores than state-of-the-art full […]