Proyectos

This project makes advancements in the study of the reactor relevant plasma fuel mixture of deuterium-tritium, D-T. The team is strongly leading and supporting several experiments at the Joint European Torus where we have achieved two times the fusion energy world record. The assessment of the alpha role (Helium ashes), fast particles and plasma heating reported in this project is providing...

The high-performance demands of the functionalities required in complex critical systems is rapidly increasing. In the space domain, on-board processing algorithms for navigation and control systems are needed to increase  spacecraft autonomy; in the automotive and railway domains, advanced driving assistance systems (ADAS) and obstacle detection and avoidancesystems...

INTERFACE is aligned with the goals of digitalization and decarbonization of the metallurgical sector and proposes innovative solutions based on advanced software generation and use of data-driven methods with Machine Learning to develop digital tools for the system control and optimization. INTERFACE is dedicated to develop digital tools and a data acquisition system to...

The EHDS2 Pilot project is composed of 16 partners that are national hubs, ERICs or research Infrastructures, EU agencies and associations in the area of health. The partners have expertise in health data fields and transversal skills acquired in different previous projects or partnership networks.

The EHDS2 Pilot project will build and test a first...

The overall aim of the EDITH project is to foster an inclusive ecosystem for Digital Twins in healthcare in Europe and to prompt the convergence of such an ecosystem towards a common strategy conducive to its further development. This is achieved by mapping and analysing the status of the fields which are crucial for the growth, uptake and use of digital twins in healthcare,...

A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in such domains, is the ability to forecast imminent situations and critical complex events ahead of time. EVENFLOW will...

Deep Learning (DL) techniques are key for most future advanced software functions in Critical Autonomous AI-based Systems (CAIS) in cars, trains and satellites. Hence, those CAIS industries depend on their ability to design, implement, qualify, and certify DL-basedsoftware products under bounded effort/cost.There is a fundamental gap between Functional Safety (FUSA)...

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, accounting for about a third of annual deaths. Refusing structured and unstructured data has the potential for significant health benefits for the population suffering from CVD. Healthcare data reuse in Europe faces privacy and fragmentation issues, high data formats and language diversity, and a...

Despite clear signs that the impacts of climate change are escalating, the global response has been inadequate. Traditional scientific efforts have fallen short of providing knowledge and tools that have been broadly applied in decision-making, and innovative approaches to knowledge translation are needed.

To catalyse climate action in Europe to protect public...

The project proposes a solution for making on-demand configurable digital twin engines for forecasting of environmental extremes at the sub-km scale. We name the solution Destination Earth On-Demand Extremes (DEODE). The core of our solution is to provide an on-demand workflow with co-design of high resolution predictions about extreme weather events combined with decision...