The Agentic6G Agentic-AI system based on Multi-Agent Systems (MAS) will enhance and evolve the interplay between 6G network and computing resources across the Device–Edge–Cloud continuum, potentially leveraging new 6G architectural advancements, in addition to the extreme communi

VANGUARD aims to strengthen the fight against trafficking in human beings (THB) at the nexus of advanced technological solutions, understanding, awareness raising, and training in order to disrupt the trafficking chain at an early stage and address the culture of impunity, with p

CYDECO is a 3-year European project, financed through the Digital Europe programme (DIGITAL), under the call “DIGITAL-ECCC-2022-CYBER-03-SOC: Capacity building of Security Operation Centres”.

PLATON is a national project (funded under the Next Generation scheme) driving the transition from traditional electricity distribution networks to smart distribution networks.

6G-OPENSEC aims to provide security, trust, and quantum key distribution (QKD) solutions for 6G transport networks through an open and flexible architecture.6G-OPENSEC is divided into three subprojects:

DC4EU will aid in the development of the technical infrastructure to support the interoperability and implementation of the European Digital Identity Framework, through a two-year, large-scale, cross-border pilot of the European Digital Identity Wallet in compliance with the EU T

PASQuanS2 is a flagship initiative under the European Commission’s Future and Emerging Technologies (FET) Quantum Technologies Flagship.

MILLENION is a flagship project under the European Commission’s Future and Emerging Technologies (FET) Quantum Technologies Flagship.

FAME is a joint effort of world-class experts in data management, data technologies...

AgriDataValue is a six-year project that aims to establish itself as the "game changer" in smart farming and agri-environmental monitoring, strengthening smart farming capacity, competitiveness and fair incomes through the introduction of an innovative, intelligent, multi-technology, fully distri

6G technologies, benefitting from softwarisation, Gb/s speed and sub-THz communications paradigms, open up opportunities for developing new and innovative network management strategies while navigating the evolution toward disaggregation, new software-based paradigms in architecting and operating

GREEN.DAT.AI will demonstrate the efficiencies of the new large-scale data analytics services in four industries (Smart Energy, Smart Agriculture/Agri-food, Smart Mobility, Smart Banking) and six different application scenarios, leveraging the use of European Data Spaces.

HiDALGO2 aims to explore synergies between modelling, data acquisition, simulation, data analysis and visualisation along with achieving better scalability on current and future HPC and AI infrastructures to deliver highly scalable solutions that can effectively utilise pre-exascale systems.

COGNIFOG provides a software solution as a Cognitive Fog Framework (Cognitive-Fog) for monitoring and analyzing data flows along the IoT-edge-cloud continuum, enabling the processing of data closer to its source and providing real-time responses for many smart IoT applications.

EMERALDS uses advanced technologies including AI, Big Data, edge/fog/cloud computing to bring unprecedented resolution on spatiotemporal data analytics, thus providing urban mobility operators and planners with advanced solutions for extreme-scale mobility data analytics tools and services.

PISTIS brings forward a reference federated data sharing / trading and monetisation platform for secure, trusted and controlled exchange and usage of proprietary data assets and data-driven intelligence (derivative data assets).

ELMUMY aims to elucidate the factors (clinical, epidemiological, environmental...) associated with the risk of developing Multiple Myeloma (MM), an incurable type of cancer, in patients with Monoclonal Gammopathy of Uncertain Significance (MGUS).

SECURED will address the limitations which prevent the widespread use of SMPC and effective anonymisation (due to the lack of well understood and standardised data anonymisation methods for health data), with the main goal to scale up MPC, data anonymisation and synthetic data generation, by incr