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

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

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

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

The Smart Networks and Services Joint Undertaking (SNS JU) 6G Flagship project Hexa-X-II leads the way to the end-to-end (E2E) system design (based on integrated and interacting technology enablers) and the enabling p

PREDICT-6G aims to create a secure, modular, interoperable, and extensible deterministic network and management framework that automates the definition, provisioning, monitoring, fulfilment, and life-cycle management of end-to-end deterministic services over multiple network domains.

The main objective of the project is to conceive, design, and realize an innovative service-based and holistic ecosystem to extend “the communication infrastructure into a sustainable, interconnected, greener end-to-end intercomputer system” and promote energy efficiency

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.

CODECO proposes an open, cognitive toolkit and smart Apps, integrating the elastic and advanced concepts to manage, in a smart and flexible way, containerized applications across Edge and Cloud (dynamic cluster and multi-cluster environment, as well as a developer-oriented open-source software re

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).

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.

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.

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