Awarded Projects

Our understanding of Nature depends on our ability to validate, with experiments, theoretical predictions for observable quantities.

The Jurilabs project aims to develop a virtual legal assistant based on a set of large language models that will address these specific challenges.

Natural language processing plays an increasingly important part of our digital lives but it works best for high-resource languages due to the amount of data needed to train models.

The combination of cutting-edge HPC platforms, pioneering Artificial Intelligence (AI) methodologies, and High-Performance Data Analytics (HPDA) techniques are expanding horizons for aeronautical engine design and optimisation.

The project aims to perform the first simulation of a wave energy farm using high-fidelity numerical modelling to anticipate the effects of arraying wave energy converters (WECs) within the same sea stretch.

With the introduction of the transformer neural network (Vaswani et al. 2017) and the subsequent transformer language models (LM) such as GPT (Radford et al. 2018) and BERT (Devlin et al. 2018), they have become the new standard of a pre training-fine tuning paradigm.

Aerobic propulsion systems require sufficient airflow through the engine to operate at nominal conditions. Design of the air intake then plays a key role in the performance of the propulsion system.

This project will leverage EuroHPC's GPU capabilities to predict the 3D structure of proteins using advanced and computationally burdensome machine learning algorithms.

Devices relying on quantum effects lie at the heart of modern information and communication technology. Future quantum devices will allow for secure communication, ultra-precise sensors, imaging, and quantum information processing beyond today’s limits.