Projects
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...
AI is one of the biggest mega-trends towards the 4th industrial revolution. While these technologies promise business sustainability 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,...
The European community requires early stage researchers (ESRs) who can work across the boundaries of traditional disciplines, integrating experimental and in silico approaches to understand and manage complex multifactorial disorders. This training network utilises intervertebral disc degeneration (LDD) leading to low back pain (LBP) as a relevant application for data...
The goal of EuCanImage is to build a highly secure, federated and large-scale European cancer imaging platform, with capabilities that will greatly enhance the potential of artificial intelligence (AI) in oncology. Firstly, the EuCanImage platform will be populated with a completely new data resource totaling over 25,000 single subjects, which will allow to investigate unmet...
The main scope of the project is to empower the potential of EO Systems by creating an innovative commercial information delivery to optimize sustainable vine cultivation via decision support systems (DSS) on phenology, irrigation, fertilizer, disease and business operations management. Satellites imagery will be combined with other data sources such as in-field measurements, models and best...
Air pollution continues to be one of the main issues in urban areas. In the particular case of Barcelona (Spain), chronic NO2 and PM2.5 exceedances are still recorded in urban traffic stations, highlighting the contribution of the road transport sector to population exposure to ambient concentrations. At the same time, several studies have shown that the urban plume of...
The diversity, complexity and volume, as well as privacy and regulatory considerations, necessitate a collaborative and federated approach to life-science data. For scientists to find and share data across Europe and world-wide, ELIXIR needs to continuously develop and connect its services. The international ecosystem provided by ELIXIR with 220 institutes in 23 Nodes,...
HiPEAC is a coordination and support action (CSA) that aims to structure, connect and cross-fertilise the European academic and industrial research and innovation communities in Embedded Computing and Cyber-Physical Systems (i) by attracting members from the Cyber-PhysicalSystems community, industry and innovation community, (ii) by organising quarterly networking activities...
The IOTWINS project will deliver large-scale industrial test-beds that leverage and combine data related to manufacturing and facility management optimization domains that come from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources.The goal is to build a reference architecture for the development and deployment of distributed...
Abstract in Spanish:
El proyecto PIXIL es un esfuerzo de colaboración científico-tecnológica transfronterizo y multidisciplinar, con el objetivo de desarrollar las herramientas más punteras para analizar el subsuelo terrestre, con especial interés en favorecer el crecimiento de la energía...