The article The Largest Suite of Cosmic Simulations for AI Training Is Now Free to Download; Already Spurring Discoveries describe research of a team of astrophysicists that includes UConn Professor of Physics Daniel Anglés-Alcázar.
“Machine learning is revolutionizing many areas of science, but it requires a huge amount of data to exploit,” says Anglés-Alcázar. “The CAMELS (which stands for Cosmology and Astrophysics with MachinE Learning Simulations) public data release, with thousands of simulated universes covering a broad range of plausible physics, will provide the galaxy formation and cosmology communities with a unique opportunity to explore the potential of new machine-learning algorithms to solve a variety of problems.”