29/10/2019: Self-learning machines hunt for explosions in the universe

The National Science Agenda has awarded a 5 million euro grant to CORTEX – the Center for Optimal, Real-Time Machine Studies of the Explosive Universe. The CORTEX consortium of 12 partners from academia, industry and society will make self-learning machines faster, to figure out how massive cosmic explosions work, and to innovative systems that benefit our society.

Machine learning has rapidly become an integral part of our lives. It is now commonly used for speech recognition and information retrieval. This is also true in science, for detecting patterns in nature and the Universe. But the need is growing rapidly for such machines to respond quickly, for example in self-driving cars and for responsive manufacturing. On a more fundamental level, self-learning machines help us unveil a dynamical Universe we did not know existed up until recently. Bright explosions appear all over the radio and gravitational-wave sky. Many citizens and scientists are curious to understand where these come from.

The University of Amsterdam GRAPPA, Anton Pannekoek Institute for Astronomy and Institute of Physics led efforts focus on the numerical modelling, joint characterisation and interpretation of neutron star binary mergers using gravitational wave and radio observations. The effort comprises the participation of the groups led by Samaya Nissanke (UvA work package contact and lead), Antonia Rowlinson (co-project lead), Philipp Moesta, Oliver Porth, and Sera Markoff.

More information can be found at the IOP news