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This project intends to train a multimodal transformer based model incorporating text, audio, and image modalities for the scandinavian languages (Swedish, Danish, Norwegian, and Icelandic) and English.

Coastal regions are becoming increasingly populated and industrialized, with nearly one-third of humanity residing within 100 kilometres of the coast.

This focused project directly supports the broader EuroLLM and OpenEuroLLM initiatives by addressing a critical bottleneck – the availability of high-quality pre-training data.

This focused project directly supports the broader EuroLLM and OpenEuroLLM initiatives by addressing a critical bottleneck – the availability of high-quality pre-training data – distinct from the large-scale model training requested in our parallel Extreme Scale proposals.

The project focuses on developing a revolutionary generation of universal snakebite antidotes, answering an urgent WHO health priority.

The goal of this project is to develop an open-source system that can produce video clips that fit any piece of music from an aesthetical standpoint.

Digitalization is a longstanding goal of the EU, with varying degrees of progress among member states. Large language models are a promising catalyst for this process, but the current landscape presents significant challenges.

Multimessenger (MM) astrophysics promises to answer some of the most intriguing open questions in Physics, including the nature of gravity, the properties of nuclear matter, the origin of the heaviest elements.

This project proposes a new vision foundation model that rivals—and often surpasses—the performance of leading proprietary models such as DINOv2, CLIP, and SigLIPv2.

Understanding and simulating strongly correlated quantum systems is a central challenge in modern physics, with applications ranging from high-temperature superconductivity to quantum computing.