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.

CYDERCO aims to develop, test, and validate technologies that will support and enhance the detection and response capabilities of relevant entities, including private and national SOC’s, to fight a

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 naviga

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 intelli

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 infrastr

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 Monocl

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,

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 su

SUNRISE aims to increase the resilience of critical infrastructures in order to be ready for future major events, in the light of the experience acquired during the COVID pandemics.

K-HEALTHinAIR aims at the assessment of the indoor air quality (IAQ) effects in health on the basis of an extensive monitoring campaign of chemical and biological indoor air pollut

Energy-intensive industries (EIIs), embedded in many strategic value chains, make up more than half of the energy consumption of the European industry and reducing their CO2 intensity is crucial fo

PHOENi2X (the second part of the PHOENIX project) aims to design, develop, and deliver a Cyber Resilience Framework providing Artificial Intelligence - assisted orchestration, automation & resp

European manufacturing industry needs to urgently depart from manual operations to integrate and manage their data space participation, significantly increasing capabilities for data engineering an

The objective is to interconnect the information along the life of a product, from concept to retirement, so that it can be easily accessed and shared.

Multi-morbid complex chronic conditions (CCCs) are highly prevalent in patients with Chronic Obstructive Pulmonary Disease (COPD) and timely and preventive care is essential.

The AI-on-demand regional platforms built by DIH4AI are based on an Innovation & Collaboration platform developed i

MARVEL aspires the convergence of a set of technologies in the areas of AI, analytics, multimodal perception, software eng