This ECMWF-ESA Machine Learning Workshop aims to explore the fusion of traditional Earth System Observation and Prediction (ESOP) techniques with machine learning (ML) and deep learning (DL) methods.
It seeks to showcase the impact achieved through this fusion, while also addressing the remaining challenges that need further exploration. The presenters will show their contributions to this field and engage the attendees in discussions to provide a comprehensive understanding of the subject. The workshop strongly welcomes industry to demonstrate their commercial lenses for ML4ESOP applications.
This event will delve into the transformative role of ML in enhancing data analysis and predictive modelling within atmospheric sciences. Participants will engage with leading experts, partake in hands-on sessions, and explore cutting-edge innovations that are shaping the future of climate research and operational forecasting.
Join experts from artificial intelligence (AI) and data science, thematic applications, engineers and research scientists active in the field of foundation models (FMs) applied to climate, weather, Earth observation (EO), and Earth sciences from across the globe in this workshop hosted by NASA and ESA (European Space Agency).
The Second ESA-NASA International Workshop on AI Foundation Model for Earth Observation will focus on further strengthening cross-agency and cross-disciplinary collaboration between the EO and AI/FM communities to advance the transition of foundation models from research prototypes to operational, trustworthy, and impactful Earth science tools.
The key goal of the workshop is to foster meaningful exchange across science, applications, and operations, while creating space for emerging topics such as agentic AI, novel applications, benchmarking frameworks, and responsible AI use.
Image courtesy NASA
