Events

We present TerraMind, the first any-to-any generative, multimodal foundation model for Earth observation (EO).

FAST-EO contributed with an abstract on Massively Multi-Modal Masked Autoencoders for Earth Observation

FAST-EO contributed to the panel “Beyond Archiving Pixels - The ChatGPT of Earth” at SatSummit 2024, highlighting the transformative impact of FMs on geospatial data and EO applications.

FAST-EO participated in the "Foundation Models for Earth Observation" workshop organized in collaboration with the Helmholtz AI and the national center of excellence ML4Earth

FAST-EO co-organized a tutorial with IEEE GRSS and NASA-IMPACT on "Machine Learning Lifecycle in High-Performance Computers and Cloud".

FAST-EO contributed in a full-day session on "Large-Scale AI for Geosciences with Supercomputing and Cloud Computing".

FAST-EO participated in the AI+Environment EcoHackathon kickoff, organized by the ETH AI Center and GainForest.

FAST-EO contributed with two posters: one illustrating the project's general concept and another detailing EO downstream applications that benefit from AI foundation models.