Projectes

A key target of ecological transition towards the zero-pollution vision for 2050 is the prevention and control of pollutants. Transportation is a key source of urban air pollution, being the main responsible of NO2 and PM emissions, with a heavy toll on public health and wellbeing. This pressing need to monitor and reduce traffic-related emissions in urban areas calls for...

DeepR3.cat investigará nuevos métodos para extender, reutilizar y adaptar de forma computacionalmente eficiente los modelos de lenguaje preentrenados existentes con el fin de explotarlos en nuevos dominios, géneros y lenguas, así como aplicarlos a diferentes casos de uso, como el dominio biomédico, la traducción automática o la...

The main objective of our project, KOIOS, is to develop new AI-based methods that are trustworthy (under human control and explainable), robust (resilient to attacks) and frugal in the use of resources (data, computing capabilities, energy,& ) addressing tasks in a more efficient manner than the current state-of-the-art ML/DL methods while...

IMPETUS4CHANGE (I4C) will make significant scientific advances that will enhance our collective ability to act on and adapt to near-term climate change. The overarching objective of I4C is to improve the quality, accessibility and usability of near-term climate information and services at local to regional scales where impacts are most keenly felt and on-the-ground adaptation...

Compound events (CEs) can pose significant threats to societies, economies and ecosystems around the world, especially when amplified by anthropogenic climate change (ACC). There is therefore a strong need for skilled, reliable and actionable predictions of how CEs are expected to change in the next decades to help governments and stakeholders implement robust adaptation...

This contract will aim at carrying out the European Climate Risk Assessment (EUCRA). The primary policy purposes of EUCRA are:" to support the identification of adaptation-related policy priorities for the next European Commission (to be nominated in 2024)," to support the prioritization of adaptation-related investments for the following multi-annual financial framework...

The high-performance demands of the functionalities required in complex critical systems is rapidly increasing. In the space domain, on-board processing algorithms for navigation and control systems are needed to increase  spacecraft autonomy; in the automotive and railway domains, advanced driving assistance systems (ADAS) and obstacle detection and avoidancesystems...

INTERFACE is aligned with the goals of digitalization and decarbonization of the metallurgical sector and proposes innovative solutions based on advanced software generation and use of data-driven methods with Machine Learning to develop digital tools for the system control and optimization. INTERFACE is dedicated to develop digital tools and a data acquisition system to...

The overall aim of the EDITH project is to foster an inclusive ecosystem for Digital Twins in healthcare in Europe and to prompt the convergence of such an ecosystem towards a common strategy conducive to its further development. This is achieved by mapping and analysing the status of the fields which are crucial for the growth, uptake and use of digital twins in healthcare,...

A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in such domains, is the ability to forecast imminent situations and critical complex events ahead of time. EVENFLOW will...