Europlanet 2024 RI will develop a number of ML tools based on science cases submitted by the planetary science community. The cases address various science challenges and will be applicable to many planetary datasets, creating higher-level data products that can be deposited, accessed and further analysed through Europlanet 2024 RI’s suite of Virtual Access services. All tools will also be linked via the VA services of VESPA, GMAP and SPIDER (where appropriate). 

The main objectives of Europlanet 2024 RI’s ML Joint Research Activity are: 

• To develop ML tools, designed for and tested on planetary science cases submitted by the community, and to provide sustainable, open access to the resulting products, together with support documentation.
• To foster wider use of ML technologies in data driven space research, demonstrate ML capabilities and generate a wider discussion on further possible applications of ML.

This community collect all data and products related to Europlanet 2024 RI’s ML activity.
Links :

https://www.europlanet-society.org/europlanet-2024-ri/machine-learning/
https://github.com/epn-ml/