Awarded Projects

Knowledge of transformation mechanisms and related free-energy barriers in pressure-induced solid-solid first-order phase transitions is of fundamental interest but also of major importance for technological applications.

This project introduces a secure edge-deployed Multi-Agent GPT-enhanced collaboration framework tailored for Aerospace, Satellite Communications (SatCom), Terrestrial Transport Networks (TTN), and Non-Terrestrial Networks (NTN) Supply Chains.

The AURORA project aims to develop the first European family of perceptually grounded multimodal foundation models with robust spatial, geometric, and object-centric understanding.

Aviation plays a crucial role in connecting people and goods but it is also an important contributor to negative effects such as the global CO2 release as well as air pollution.

Traditional large-scale AI models, operated by hyperscalers or private companies directly (ie. OpenAI and Anthropic), often fall short in meeting these sector-specific requirements while raising concerns about data privacy, vendor lock-in, and cost-effectiveness.

This project, led by Bitnet, aims to benchmark, design, and scale novel Neural Operator-based frameworks for predictive maintenance and digital twin applications in energy-critical systems—extending from hydrogen fuel cells to electric vehicle (EV) batteries.

Large Language Models have revolutionised work with breakthrough capabilities. They can perform tasks without explicit training, making them incredibly powerful.

Understanding the origin of globular clusters (GCs) is at the frontier of astronomy.

This project, "Bio-Plausible Spiking Neural Networks for Energy-Efficient Automatic Speech Recognition," addresses the critical challenge of high-energy consumption in deep learning models for speech processing.