Session CD1 - Artificial intelligence in the service of space weather

Elena Popova (Centro de Investigación de Astronomía, Universidad Bernardo O’Higgins, Chile), Robertus Erdelyi (University of Sheffield, Sheffield, UK), Marianna Korsos (Aberystwyth University, Aberystwyth, UK), Giovanni Lapenta (KU Leuven, Belgium)

Artificial intelligence is taking paramount importance in a wide range of applications from engineering to space physics. A particularly interesting area is big data and its associated applications. In the last few years, machine learning techniques have proven capable of forecasting space weather events with a much higher accuracy with respect to long-used traditional empirical and physics-based models.The direction of space weather uses big data, as an example, that are hard to handle with traditional methodology. It is hard to imagine the future of space weather without machine learning because more consideration is being given to the issues of reliability, uncertainty, and trustworthiness of machine learning models. O)n the practical sifde, the forecasts of the various physical processes are especially timely given the recent technology developments and the expansion of our technosphere. This session encourages submissions addressing the latest advances in the application of artificial intelligence and their application to space weather. Contributions are welcome from all areas of space weather that focus on the application of artificial intelligence, including forecasting various processes and analyzing satellite or ground-based data.