Europlanet Machine Learning

Europlanet’s Machine Learning (ML) activities develop tools to handle complex planetary data more efficiently and provide opportunities to combine and visualise multiple, diverse datasets.  

In recent years, planetary science has experienced an exponential growth of the volumes of data available from diverse sources, including space missions, ground-based telescopes, computer modelling, and laboratory and field experiments. To go through and analyse the vast archives of data collected from all these sources, new methods and approaches are required. The introduction of ML tools and algorithms means not only that all the data can be investigated, but that datasets can be combined and mined to find complex correlations, to detect anomalies, faults or missing information, and to maximise the exploitation of data from planetary research to date. 

• EPSC-DPS 2025

  7 September @ 8:00 am – 12 September @ 5:00 pm UTC+1