Projects

Showing 21 - 30 results of 430

In the past decade, many scientific domains have been transformed into data-driven disciplines relying on the exchange and integration of internationally distributed data. Exploiting this data is still a laborious and largely manual task, prone to losses and errors, and increasingly specialised beyond most users technical capabilities. FAIR practices are encouraged but their...

With present computational capabilities and data volumes entering the Exascale Era, digital twins of the Earth system will be able to mimic the different system components (atmosphere, ocean, land, lithosphere) with unrivalled precision, providing analyses, forecasts, and what-if scenarios for natural hazards and resources from their genesis phases and across their temporal...

While overall global warming with the causes and global processes connected to well-mixed greenhouse gases (GHGs), especiallyCO2 and their impacts on global to continental scales are well understood with a high level of confidence, there are knowledge gaps concerning the impact of many non-CO2 radiative forcers leading to low confidence in the conclusions.

The RESCUE project will improve knowledge and understanding in area of this call: Climate and Earth System responses to climate neutrality and net negative emissions by pursuing two overall objectives:

  • Quantify the climate and Earth system responses topathways achieving climate neutrality by Carbon Dioxide Removal (CDR)...

Timely delivery and effective use of climate information is fundamental for a resilient, climate neutral Europe that responds to the reality of climate change and climate variability. Climate services address this through the provision of climate information for decision-making that manages risks and realises opportunities.

The market and needs for...

Deep learning (DL) is widely used to solve classification problems previously unchallenged, such as face recognition, and presents clear use cases for privacy requirements. Homomorphic encryption (HE) enables operations upon encrypted data, at the expense of vast data size increase. RAM sizes currently limit the use of HE on DL to severely reduced use cases. Recently emerged...

Europe is implementing an AI strategy that seeks to create a research environment characterised by scientific excellence and that is consistent with the fundamental ethical values of its citizens. Part of this strategy foresees the consolidation of ongoing research activities through the creation and maintenance of an AI on-demand Platform that will act as a community...

Biomaterials in healthcare span almost all medical fields, ranging from recognised materials to high-innovative innovative and multifunctional biomaterials. One of the main challenges is to provide accessible and well-structured data on biomaterials for all relevant practitioners and user groups. BIOMATDB+ aims to create an advanced database for biomaterials providing...

Climate change is one of several drivers of recurrent outbreaks and the geographical range expansion of zoonotic infectious diseases in Europe. Policy and decision-makers need tailored monitoring of climate-induced disease risk, and decision-support tools for timely early warning and impact assessment for proactive preparedness and timely responses. The abundance of open data...

CAELESTIS will develop an end-to-end Interoperable Simulation Ecosystem (ISE) that will perform multidirectional dataflow across the aircraftvalue chain linking product design and distributed engineering teams´ CAD-CAE tools, to accelerate the design and engineering optimization of disruptive aircraft and engine configurations, ensuring their manufacturability from the...

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