Awarded Projects

MultiCellFM aims to develop an advanced Cell Foundational Model (CFM) that leverages cutting-edge artificial intelligence to extract meaningful insights from vast single-cell datasets.

The project team proposes a suite of multilingual continual pretrained Dense and Mixture-of-Expert (MoE) models at different size tiers for different types of workloads that have different inference compute constraints.

With their current computer vision and natural language processing models, the project already manages to process 30% of incoming claims automatically.

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.

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

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.