The universe in the machine brain: Artificial intelligence in cosmology

“Can artificial intelligence do research and discover something? Learning algorithms have crucial advantages in terms of their ability to process large amounts of data, detect patterns and correlations, and build models of what the data looks like. In observation-based cosmology, one of the most fundamental disciplines of the natural sciences, such algorithms are already indispensable tools.

Where it gets more difficult is with causal relations, and indeed with anything else that goes beyond pure phenomenology. Discovery is more than the combination of known possibilities. It still seems transcendent and reserved for humankind. Does it have to be that way? What would it look like if a machine were to shout ‘Eureka’?”

Professor Daniel Grün holds the Chair of Astrophysics, Cosmology and Artificial Intelligence in the Faculty of Physics at LMU.

Please find the complete KI Lectures program here.