In the first study of its kind, researchers at the RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) in Japan, together with colleagues from the Max Planck Institute for Astrophysics (MPA) and the Flatiron Institute, used machine learning — a form of artificial intelligence — to significantly speed up the processing time to simulate the evolution of galaxies coupled with supernova explosions. This approach could help us to understand the origins of our own galaxy and, in particular, the elements essential for life in the Milky Way.
more