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). The goal is for advancing incrementally from TRL-4 (lab) to TRL-6 (demonstrated in relevant environment), testing it on an existing pharma-healthcare use case: Major Adverse Cardiovascular Events (MACE) prediction in patients with diabetes.
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.