Edge computing (EC) and the development of portable devices such as cell phones, autonomous robot or health tracking systems represent one of the big challenges for artificial intelligence (AI) deployment. These hardware systems present

UPRISE-IoT's goal is to make users gain control over data generated and collected by the IoT devices surrounding her. Since the IoT will be omnipresent in our day-to-day, it can become very privacy-intrusive. Its deployment might be stopped

To be trustworthy, any system needs to protect the data it transmits and processes. Realizing such protection is particularly challenging for Internet of Things because of the devices’ limitations in terms of resources, user interfaces

Today a typical Web document will contain a mix of visual and textual content. Most traditional tools for search and retrieval can successfully handle textual content, but are not prepared to handle hetereogeneous documents. The new type of

Hydrological models are an essential tool for water resources assessment and management. Advanced computational algorithms are capable of simulating the relevant physical processes and form the feedback mechanism across a wide range of

WISDOM proposes a significant advance towards the design and fabrication of smart, wideband and low-cost THz devices. In order to do so, the consortium is built from a very complementary expertise, with knowledge on both 3D printing

Face recognition has become a key technology in our society, frequently used in multiple applications, while creating an impact in terms of privacy. As face recognition solutions based on machine learning are becoming popular it is critical

The XPM project aims to integrate explanations into Artificial Intelligence (AI) solutions within the area of Predictive Maintenance (PM). Real-world applications of PM are increasingly complex, with intricate interactions of many