Discover HaDEA-managed projects in the field of AI

On 26-28 May 2025, more than 3,000 people gathered in Düsseldorf, Germany to attend the European AI & Cloud Summit 2025 on artificial intelligence and cloud computing. The summit underscored the importance of advancing the integration of AI and cloud technologies to reinforce and improve their use, particularly since generative AI is alternating work and business. In addition, the event demonstrated real-world AI use cases across several fields, including healthcare, education, cybersecurity, and finance. Many discussions highlighted a key takeaway on the value of securing data in the cloud, ethical guidelines and compliance with AI European regulations.

To mark the occasion, HADEA is identifying four EU-funded projects (AI4CI, PANORAIMA, RISER, and MANOLO) that are focusing on applying AI to connected industries, fostering the collaboration among educational institutions and industry, promoting energy-efficient cloud architecture, and ensuring compliance with AI regulation.

Digital Europe Programme projects

• The AI4CI project aims to support European educational institutions in creating a new joint master's degree program focused on the application of Artificial Intelligence to Connected Industries. The goal of the project is to provide a cutting-edge, up-to-date master curriculum that covers all latest advances in the design and operation of AI systems integrated with Internet of Things, Cloud Networking, and Robotics technologies shaping the Connected Industry.  The primary objective is to train at least 500 new experts in AI technologies for Connected Industries to reinforce EU industry and scientific ecosystem, and to graduate at least 250 among them. The joint AI4CI European master is designed to be deployed in 5 countries, at 7 universities, with the integration of 5 SMEs and 3 research centers supporting training activities and student professionalisation.
• The PANORAIMA consortium, a network consisting of 16 like-minded universities, research and industry partners, presents a flexible educational architecture that enables to build different forms of responsible AI education and to make it accessible to everyone in Europe. PANORAIMA entails the development and delivery of a Master program in human-centred AI, consisting of four (and later more) specialized tracks that provide deep knowledge on the responsible development and application of AI technology to (non-ICT) students coming from traditional industries: Healthcare & Life Sciences, Media & Culture, Law & Compliance, and Management & Finance. Next to the delivery of the specialised tracks, self-standing modules will be created to support the reskilling and upskilling of the existing work force. The materials developed in this project, as well as the programs delivered, will help create a cross-European master standard for the education of responsible AI and data-related skills.

Horizon Europe projects

• The revolutionary instruction set architecture (ISA) known as RISC-V is not new, but it is still appealing, as it is free to license and has just a few instructions in the base architecture. In this context, the EU-funded project RISER is developing the first all-European RISC-V cloud server infrastructure. The project will integrate low-power components into an innovative energy-efficient cloud architecture. It will build an accelerator platform, which includes the Arm-based Rhea processor from EPI, a PCIe acceleration board, and a microserver platform, which interconnects up to 10 microserver boards, each one supporting up to four RISC-V chips coupled with high-speed storage and networking.
• MANOLO will deliver a full stack of trustworthy algorithms and tools to enhance the efficiency and optimisation of AI systems in both centralised and cloud-edge distributed environments. It will advance the state of the art in training, understanding, compressing and optimising machine learning models, with research in model compression, meta-learning, domain adaptation, frugal neural network growth, and neuromorphic models. Novel dynamic algorithms will enable data and energy-efficient, policy-compliant allocation of AI tasks across the cloud-edge continuum. MANOLO will be deployed and tested in lab environments through use cases in health, manufacturing and telecommunications, across a wide range of embedded devices including robotics, IoT, smartphones, and neuromorphic chips. It will integrate with ongoing EU-level projects on cloud-edge operating systems, and promote sustainability via the AI-on-demand platform and EU portals.