Awarded Projects

The goal of this project is to reach a new frontier in precision radiology by developing foundation models for 3D medical imaging, trained with self-supervised learning (SSL) techniques at an unprecedented scale.

This project will use the computational resources of EuroHPC to perform a systematic study and scale up experiments to build LLMs for four European languages with few resources.

Atrial fibrillation (AF) represents a critical cardiovascular challenge, often complicated by significant interpatient variability and the limitations of current therapeutic interventions like Pulsed Field Ablation (PFA) and Radiofrequency Ablation (RFA).

This project concerns the pre-training of a foundational multilingual large language model with billion of parameters that excels at Danish.

This project will yield empirically grounded guidelines for scalable VLM data curation, and release training code, evaluation suite, filtering tools, and annotated data pools. This will in turn foster open, reproducible research in data-centric multimodal AI.

DataROC generates potential therapeutic targets for biomedical scenarios of interest, alongside a proposed mechanism of action, origin, and disease impact for each target.

This project aims to go beyond designs based on human intuition and discover a new class of tunable gravitational wave detectors with enhanced sensitivity.

Deep reinforcement learning (DRL) has recently emerged as a novel approach to discover efficient control strategies for active flow control (AFC).

This project will establish fundamental physical design rules for defect-induced functional materials for energy conversion and energy-efficient electronics.