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

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

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

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).

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.

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.

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

The I-SEAMORE purpose is to provide an ecosystem, a holistic and advanced platform capable of managing the operation of multiple assets and systems with advanced maritime surveillance capabilities that can be easily deployed and operated at European Maritime Operation Centres (

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).

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 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

The main objective of the project is to achieve accelerated digitization in the healthcare sector to provide opportunities for cost-effective and efficient delivery of personalized care services, through medical devices (including software) connected to IT networks and increasingly combined with

TEMA seeks to advance the analysis of "extreme data" within the field of natural disaster management.

IoT developers face a very fragmented landscape made of very different devices, from bare metal devices with few KB of RAM and limited or no security protection to devices equipped with powerful support for AI and with built-in hardware (HW) to implement Root of Trust (RoT) and Trusted Execution

LAGO (Lessen data Access and Governance Obstacles) will develop a European research data ecosystem (EU-RDE) roadmap for the fight against crime and terrorism (FCT).

VIGILANT’s overall objective is to provide a comprehensive framework and methodology that integrates the latest developments in tools tailored to analyse, detect, mitigate and prevent disinformation with implications for security, guided by ethical and social aspects; i