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The Deterministic AI Forecasting Systems (AIFS-Single)

The Deterministic AI Forecasting Systems (AIFS-Single)

In this lecture Gabriel Moldovan goes into more depth on the AIFS, from Architecture to its use cases. Gabriel shortly...
Introduction to the Earth AI model

Introduction to the Earth AI model

Joel Oskarsson introduces the interactive AI Earth model explorer where he explains the architecture and how to find...
Generative modelling of atmospheric fields

Generative modelling of atmospheric fields

Sophie Xhonneux introduces deep generative models, covering core concepts and two key approaches and why they matter for...
Neural Networks for Deep Learning

Neural Networks for Deep Learning

Mario Santa Cruz Lopez walks through the fundamentals of neural networks and deep learning — from neurons and layers to...
Self supervised representation learning

Self supervised representation learning

Christian Lessig, Team lead for ML modelling at ECMWF, unpacks self-supervised learning exploring why it has become...
Graph Neural Networks

Graph Neural Networks

Mario Santa Cruz explains the core principals of Graph Neural Networks (GNN), the different kinds of GNNs and its...
Convolutional Neural Networks for Gridded Data

Convolutional Neural Networks for Gridded Data

Maria Luisa Taccari introduces convolutional neural networks, explaining why they are more efficient than standard...
How Machine Learning Is Reshaping Earth-System Prediction

How Machine Learning Is Reshaping Earth-System Prediction

Peter Dueben, Head of Earth System Modelling at ECMWF, explores how machine learning is revolutionising weather and...