Machine Learning for Observational Cosmology

Understand

An array of large observational programs using ground-based and space-borne telescopes is planned in the next decade.

• The forthcoming wide-field sky surveys are expected to deliver a sheer volume of data exceeding an exabyte.
• Processing the large amount of multiplex astronomical data is technically challenging, and fully automated technologies based on machine learning and artificial intelligence are urgently needed.
• Maximizing scientific returns from the big data requires community-wide efforts.