Latest advances in AI Foundation Models

Adapting Foundation Models to geospatial data (multi-modal, multi-resolution, etc. including Language Models) and specific EO tasks 

Integration of Foundation Models with up-/down-stream applications and geospatial Digital Twins 

Advances in weather prediction and climate using Foundation Models 

Geospatial semantic data mining and data volume reduction 

Benchmarking and evaluating Foundation Models in EO 

Computational challenges in training large-scale Foundation Models 

Ethical considerations and responsible AI use in EO (bias, transparency, accountability, centralisation and democratization, etc.) 

Commercial use of Foundation Model in EO