TeamAware aims to develop an integrated and cost-efficient situational awareness system for first responders from different sectors to enhance crisis management, flexibility and reaction capability through real-time, fused, refined, and manageable information by using highly-standardised augmented reality and mobile human machine interfaces.
IMPULSE focuses on the multidimensional and user-centric analysis of the transformative impact of two disruptive technologies (Blockchain and Artificial Intelligence) on electronic identities (eID) for the improvement of digital public services.
INTERLINK aims to promote the reuse of digital services in public administration, and the participation of citizens and private entities in public services, both in the definition and in their subsequent operation. It aims to enable a series of (digital) tools for the participation of citizens and companies in the conception, deployment and operation of public services (whether digital or not).
PRELUDE will facilitate the transition to clean energy by combining innovative, smart, low-cost solutions into a proactive optimization service. The project is focused on assessing the right level of smartness necessary for any given household and then providing the optimal tools according to the needs of the user (occupant or tenant, owner or manager and energy service provider).
GLOMICAVE focuses on the combined analysis of -omic data of different types (genetics, epigenetics, metabolomics, etc.) to obtain relevant information that connects non-human genotype and phenotype beyond what could only be extracted through one of these types in isolation. Artificial intelligence techniques will be used to interpret and predict behavior in order to improve and optimize the results in the six scenarios addressed, two per sector (i.e., plant, animal and environment).
SAFETY4RAILS project delivers methods and systems to increase the safety and recovery of track-based inter-city railway and intra-city metro transportation. It addresses both cyber-only attacks, physical-only attacks and combined cyber-physical attacks.
VOJEXT will design, develop and validate affordable, market-oriented, agile, multipurpose and easy-to-repurpose, autonomous, mobile and dexterous robotic systems as the main component of a smart, agile and scalable cognitive CPS for industry.
APRIL project aims at implementing and deploying market-oriented, low-cost and multipurpose robots that support semiautomatic tasks in manufacturing production lines that use flexible or deformable materials in industries of any size or domain.
PRIMAL will alleviate privacy-related data sharing barriers by enabling secure privacy-preserving analytics over decentralized datasets using machine learning algorithms (specifically deep learning).
SHAPES aims to create the first European open Ecosystem enabling the large-scale deployment of a broad range of digital solutions for supporting and extending healthy and independent living for older individuals who are facing permanently or temporarily reduced functionality and capabilities.
4SECURail addresses the development of a demonstrator for the use of Formal Methods (FM) and collaborative tools to support Computer Security Incident Response Team (CSIRT) in the railway sector.
The aim of DECODER is to improve the software development process by integrating tools and techniques – such as Natural Language Processing (NLP) – into a semi-automatic framework that will support diverse workflows and help professional developers and teams in day-to-day work.
The main objective of the DeepHealth project is the development of both a European Deep Learning Library and a European Image Processing Library for the healthcare domain. These new data-driven AI libraries will make intensive use of hybrid HPC + Big Data architectures to process data by parallelising algorithms.
MUSKETEER mission is to develop an Industrial Data platform with scalable algorithms for federated and privacy-preserving machine learning techniques, with detection and mitigation of adversarial attacks, complemented by a rewarding model capable to fairly monetize datasets according to the real data value.
LAY2FORM creates a new cost-effective multistage manufacturing platform based on flexible machinery concepts, cognitive automation, inline monitoring and inspection, as well as simulation and modelling, in established composites-based processes, to enable the production of multifunctional 3D hybrid parts from thin layered metals and thermoplastic-matrix composites.
ProACT aims to develop and evaluate an ecosystem to integrate a wide variety of new and existing technologies to improve and advance home-based integrated care for older adults with multimorbidity, including associated co-morbidities.
iTRACK is designed to be a cost effective open source system, supporting humanitarian aid organisations where resources may be limited. To further facilitate its uptake by these organisations when operating conflict and disaster missions, we design, develop and validate technology and policies with humanitarian practitioners.
The objective of this project is to design and develop an intelligent platform for Law Enforcement Agencies to facilitate Forensic Investigations. The system will extract, analyse, link and interpret information extracted from Internet (including Deep Web and Dark net) related with financially-motivated malware.
Research in new techniques and methodologies for the democratisation of the artificial intelligence techniques by automating the process of construction and execution of Artificial Intelligence (AI)-based systems, addressing current gaps in the software engineering building process when dealing with the analysis, modelling and evaluation stages.
PAUTA studied current health ER protocols and developed research in Artificial Intelligence techniques to optimise triage and prioritisation processes in hospital ER.