Projects

Showing 11 - 20 results of 351

Artificial Intelligence (AI), to become fully pervasive, needs resources at the edge of the network. The cloud can provide theprocessing power needed for big data, but edge computing is close to where data are produced and therefore crucial to theirtimely, flexible, and secure management. AI-SPRINT will define a framework for developing AI applications in computingcontinua,...

High-Performance Computing (HPC), used to be promoted mainly by the big science and defence communities. However, with the recent advent of AI and IoT, wider use of HPC is bringing new benefits to areas such as industry, healthcare and the economy. All regions now see intense investments in HPC as an essential in order to compete globally. In this context, coordination and...

 

Artificial Intelligence (AI) is already part of our lives and is extensively entering the space sector to offer value-added Earth Observation (EO) products and services. Copernicus data and other georeferenced data sources are often highly heterogeneous, distributed, and semantically fragmented. Large...

To support EU countries in assessing their progress for reaching their targets agreed in the Paris Agreement, the European Commission has clearly stated that a way to monitor anthropogenic CO2 emissions is needed. Such a capacity would deliver consistent and reliable information to support policy- and decision-making processes. To maintain Europe’s independence in this domain, it is...

AI is one of the biggest mega-trends towards the 4th industrial revolution. While these technologies promise businesssustainability 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...

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,...

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