Exploring the Cosmos with Deep Learning

Explore the cutting-edge applications of Deep Learning in modern Cosmology through this illuminating talk by Dr. Francois Lanusse at the Alan Turing Institute. Delve into the challenges of understanding dark matter and dark energy, which comprise 95% of the Universe, and discover how new cosmological surveys are mapping the cosmos on an unprecedented scale. Learn about innovative Deep Learning techniques addressing critical issues in cosmological data analysis, from automated detection of rare astronomical objects like strong gravitational lenses using deep residual networks to the creation of realistic galaxy images with deep generative models. Gain insights into the use of graph convolutional networks for modeling galaxy properties along the cosmic web in large-scale simulations. Covering topics such as the Large Synoptic Survey Telescope, Conditional Variational AutoEncoders, and spectral graph convolutions, this comprehensive presentation offers a fascinating glimpse into the intersection of artificial intelligence and astrophysics, showcasing how these advanced technologies are revolutionizing our understanding of the Universe.