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
APTITUDE (Advanced Project for Trusted Identity Technologies and Unified Digital Ecosystem) builds on the insights of the previous LSPs NOBID, DC4EU, POTENTIAL and EWC, marking a key step toward aligning the European Union with the ambitions of the Digital Decade.
Current and upcoming electronic identity systems, such as the European Identity Wallet, do not yet consider the quantum threat.
CROSSMARE aims to transform European maritime surveillance and strengthen the security of EU sea borders through an innovative, multi-domain interoperability framework.
ECO‑GSC‑LDC is an R&D and industrial innovation project aiming to significantly reduce the energy consumption and environmental footprint of high‑performance and enterprise computing infrastructures.
O-CEI aims to create an open CEI platform that emphasizes interoperability, security, and reliability.
6G-LEADER aims at evolving the PHY and RAN aspects of 6G communication networks by relying on the following pillars:
MARE focuses on providing a coordinated solution to enhance security and privacy in 6G ecosystems by leveraging the already available 6G architecture solutions from ongoing European and international activities, thus fostering coordination and collaboration.
Global accelerated digital transformation, shaped by disruptive technologies (AI and Big Data, Metaverses and Web3, etc.), brings both unprecedented opportunities for EU citizens and businesses and emerging and increased challenges: surge in sophisticated cyber-attacks, multifa
Supercomputing and AI systems designed for large language models can incorporate tens or hundreds of thousands of compute nodes. At the heart of these massive systems lies the interconnect, the backbone that dictates overall performance.
Bull is proud to be a key industrial partner in QLSI2 (Quantum Large‑Scale Integration with Silicon 2), a major European research initiative funded under the Horizon Europe program.
The overall vision of MANOLO is to deliver a complete and trustworthy stack of algorithms and tools to help AI systems reach better efficiency and seamless optimization in their operations, resources and data required to train, deploy and run high-quality and lighter AI models in both centralised
The main objective of SAFE-6G project is to develop Smart and Adaptive Framework for Enhancing Trust in 6G Networks, leveraging (X)AI/ML techniques to coordinate user-centric safety, security, privacy, resilience, and reliability functions, strategically optimizing the Level of Trust (LoT) as a p
ExPEDite’s approach is to develop and integrate modular components that can be used to analyse and predict the energy performance of a district under various “what-if” scenarios.
ODEON's primary objective is to revolutionise the Digital Energy transition in the EU. By integrating Smart IoT Platforms and decentralized intelligence, the project aims to enhance resilience and sustainability.
The main objective of the project is to devise and explore a novel approach for energy consumption and carbon-footprint reduction of ICT services in the era of next-generation mobile telecommunications (6G), providing mechanisms to improve energy efficiency during the end-to-end ICT service deliv
Data-driven applications using AI techniques are reshaping various industries such as manufacturing, tourism, and mobility.
The integration of intelligent systems in industry is booming due to the potential improvements they offer in terms of reducing time, simplifying complex tasks and automating them. A key aspect to consider is security from the outset to avoid vulnerability to cyber-attacks.