Abstract
Machine learning has rapidly become an integral part of society, in speech recognition or information retrieval. This is also the case in science, for detecting patterns in nature and the Universe. But the need is growing rapidly for such machines to respond quickly, in the application of self-driving cars and responsive manufacturing for example. On a more fundamental level, self-learning machines help us unveil a dynamical Universe we did not know existed up to 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 aim in CORTEX is to solve these open problems by bridging fundamental research to society.
