Summary
Cosmology is a science studying the origin, history and fate of the Universe, as well as physical processes governing it. Cosmological observations entered an era where the volumes of data collected by telescopes are immense. At the same time, incredible progress has recently been made in the fields of Artificial Intelligence and Machine Learning - sciences of creating advanced mathematical and statistical models to learn from the data. These techniques allow for analysis or large, rich datasets. In this workshop, we would like to explore the possibilities of applying these new methods to cosmological data. The benefits can potentially be vast, such as enabling extremely fast analyses of very large image datasets, accelerating cosmological simulations, and extracting more information from the data, to name a few. Machine Learning can also potentially greatly benefit from collaboration with cosmologists: new cosmological datasets can stimulate developments of new, complex learning methods and algorithms. By bringing together researchers from Cosmology and Machine Learning, we aim to foster collaboration between these two disciplines.
In order to favor discussion and collaboration between the participant, the workshop will take place at the Congressi Stefano Franscini (CSF), the meeting platform of the Swiss Federal Institute of Technology of Zurich (ETH Zurich). It provides an ideal meeting point for all members of the international scientific community who wish to discuss the state of the art and new challenges of any field of research.
