Awarded Projects

Large language models (LLMs) are at the core of the current AI revolution, and have laid the groundwork for tremendous advancements in Natural Language Processing.

This project proposes to train and validate a novel language model architecture based on energy-based neural networks that provides native explainability — a critical requirement under the EU AI Act for high-risk AI systems.

This project will explore a novel, scalable, and cost-effective approach to instruction tuning and alignment of existing LLMs to new languages.

This research aims to deliver a scalable, edge-ready blueprint for sustainable, robust artificial intelligence.

This proposal focuses specifically on scaling Video-Panda.

This project aims to establish data-compute-model scaling laws for multimodal systems tailored to document understanding.

The national libraries of Norway and Sweden collect and preserve nearly everything that is published in their respective languages. Both organizations have used these collections to train and release open access AI models that have seen widespread use with millions of combined downloads.

The objective of this project is to study search algorithms in the context of two-players stochastic games.

The SeaReport project aims to advance EC JRC’s global metocean modelling capabilities by integrating and optimizing an advanced hydrodynamic framework – pyPoseidon – with High Performance Computing (HPC) resources.