Proyectos

AI is one of the biggest mega-trends towards the 4th industrial revolution. While these technologies promise business sustainability and product/process quality, it seems that the ever-changing market demands and the lack of skilled humans, in combination with the complexity of technologies, raise an urgent need for new suggestions. Suggestions that will be agile, reusable,...

Today developers lack tools that enable the development of complex workflows involving HPC simulation and modelling with data analytics (DA) and machine learning (ML). The eFlows4HPC project aims to deliver a workflow software stack and an additional set of services to enable the integration of HPC simulation and modelling with big data analytics and machinelearning in...

High-fidelity simulations using supercomputers play a key role in aerospace and automotive design for reducing the number of ground and in-flight tests. The mesh lies at the heart of the simulation: it reproduces the geometry using elements that, for engineering applications, are required to be curved (high-order).

This project exploits geometric...

A climate resilient society requires reliable monitoring and forecasting information of the climate trends, patterns anddisturbances, both at global and regional scales. Through CONsistent representation of temporal variations of boundary Forcings in reanalysES and Seasonal forecasts, CONFESS will contribute to the emerging societal need for an enhanced Copernicus Climate...

The European community requires early stage researchers (ESRs) who can work across the boundaries of traditional disciplines, integrating experimental and in silico approaches to understand and manage complex multifactorial disorders. This training network utilises intervertebral disc degeneration (LDD) leading to low back pain (LBP) as a relevant application for data...

Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science (aiCMS) and an urgent requirement of basic and applied materials science, engineering and industry. Such materials can have immense impact on the environment and on society, e.g. on energy, transport, IT, medical-device sectors and much more. Currently,...

The Center of Excellence in Combustion (CoEC) is a collective effort to exploit Exascale computing technologies to address fundamental challenges related to combustion technologies. The CoEC vision is aligned with the decarbonization goals ofthe European power and transport sectors and the European roadmap to achieve net-zero greenhouse gas emissions by 2050. The consortium...

The increasing amount and availability of collected data (cancer imaging) and the development of novel technological tools based on Artificial Intelligence (AI) and Machine Learning (ML), provide unprecedented opportunities for better cancer detection and classification, image optimization, radiation reduction, and clinical workflow enhancement. The 42-month INCISIVE project...

The goal of EuCanImage is to build a highly secure, federated and large-scale European cancer imaging platform, with capabilities that will greatly enhance the potential of artificial intelligence (AI) in oncology. Firstly, the EuCanImage platform will be populated with a completely new data resource totaling over 25,000 single subjects, which will allow to investigate unmet...

Personalised Medicine (PerMed) opens unexplored frontiers to treat diseases at the individual level combining clinical and omics information. However, the performances of the current simulation software are still insufficient to tackle medical problems such as tumour evolution or patient-specific treatments. The challenge is to develop a sustainable roadmap to scale-up the...