PHOENi2X (the second part of the PHOENIX project) aims to design, develop, and deliver a Cyber Resilience Framework providing Artificial Intelligence - assisted orchestration, automation & response capabilities for business continuity and recovery, incident response, and information exchange,

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

​​​​​​​TANGO will establish improved data sharing across sectors in a citizen-centric, secure and reliable manner, developing innovative solutions while addressing the challenges of environmental degradation and climate change.

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

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

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).

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 (

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

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

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

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

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

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.

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).

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

Data-driven applications using AI techniques are reshaping various industries such as manufacturing, tourism, and mobility.

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