Projects

Showing 1 - 10 results of 392

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)...

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)...

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...

Ultrasound imaging can be deeply enhanced by means of algorithms developed in the field of geophysical imaging. Such algorithms, based upon adjoint-state modelling and iterative optimization, provide quantitative images of human tissue with very high resolution. At present time, suchimages can only be attained by means of high-performance computing and using specific...

Seasonal Forecasts are critical tools for early-warning decision support systems, that can help reduce the related risk associated with hot or cold weather and other events that can strongly affect a multitude of socio-economic sectors. Recent advances in both statistical approaches and numerical modeling have improved the skill of Seasonal Forecasts. However, especially in...

The project aims at developing a computational platform for virtual testing of industrial combustors using High-Performance Computing (HPC). It uses an advanced modelling strategy based on high-fidelity numerical simulations and HPC-based data analysis tools to obtain quantitative information about combustion performance in terms of combustion dynamics, pollutant formation...

There is a clear and urgent need to deepen our understanding of the occurrence and the cascading effects of droughts. In this proposal, we consider seasonal climate predictions in the Iberian peninsula (Spain and Portugal) that are projected to move towards a drier climate (Vicente-Serrano et al. 2014, Donelly et al. 2017). This case study represents an ideal opportunity for...

El projecte El Català i la IA (ECIA) té com objectiu generar els recursos lingüístics necessaris per al català, que permetin i facilitin desenvolupar aplicacions en llenguatge natural com chat bots, traductors automàtics, aplicacions d'extracció d'informació o resum automàtics. La tecnologia de la llengua...

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