Projects
The project ORION is aligned with the goals of decarbonization of the European transportation sector and Europe's vision to achieve net zero greenhouse gas (GHG) emissions by 2050. ORION intends to perform a Proof of Concept of a swirl low-NOX burner using a secondary hydrogen stream that contributes to mitigate stability problems found in swirl-stabilized lean premixed...
Pollution is one of the most significant environmental problems in modern cities, leading to disturbing odour episodes and low-air quality conditions that can be detrimental to public health. Its impact is increasing given the continuous city growth (79 % of the population worldwide live in urban areas) and the effects of climate change. Nowadays, half the cities in...
The distribution of pollutants at urban level is not completely understood due to its spatial inhomogeneity. Bettair currently maps pollutant concentrations using a model that is mainly suitable for open areas, but this model can be further improved at the cost of using more computational power. The goal of this project is to develop and incorporate a new module into...
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
Compute- and data-driven research encompasses a broad spectrum of disciplines and is the key to Europe s global success in various scientificand economic fields. The massive amount of data produced by such technologies demands novel methods to post-process, analyze, and to reveal valuable mechanisms. The development of artificial intelligence (AI) methods is rapidly...
For Artificial Intelligence (AI) to become fully pervasive it needs resources at the edge of the network. The cloud can provide the processing power needed for big data, but edge computing is located close to where data are produced and is therefore crucial to their timely, flexible, and secure management.
AI-SPRINT will define a framework for...
IntelComp sets out to build an innovative Cloud Platform that will offer Artificial Intelligence based services to public administrators and policy makers across Europe for data- and evidence-driven policy design and implementation in the field of Science, Technology and Innovation (STI) policy. Large STI datasets are processed on a High Performance Computing (HPC)...
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...
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...