Intelligent systems are emerging in response to the convergence of the virtual and physical worlds through the development of autonomous systems, wearable technologies, robotic co-workers, smart devices, drone technology, augmented reality, intelligent houses, digital twins, intelligent manufacturing, and many other applications. EuroTech Universities all have a tradition in high-tech systems that makes them specifically well positioned to meet the rapidly increasing demand for education, engineers and expertise in the field of such intelligent engineering systems. Application of these technologies will affect almost all aspects of socio-economic life and will have profound implications for many areas including manufacturing, transportation, commerce, employment, healthcare, government, legal, security, privacy, and education.

The production and storage of unprecedented quantities of data, the abundance of computational resources and the enormous industrial interest and investment enable AI to take over many tasks, some of which are currently being done by humans. AI even enables solving problems that were previously unthinkable to tackle and is thus expected to reshape society, economy and governance.

Find out more about AI research and education by the EuroTech Universities:

Key Enabling Technologies at the centre of Europe’s future prosperity

On 27 May 2021, EuroTech Universities Alliance organised an online event on Key Enabling Technologies (KETs). Europe prioritises research and innovation support for six such technologies, among them artificial intelligence. The event highlighted different aspects of this support and put an emphasis on equipping the current and future workforce with the right skills in these fields. Watch the recording of the debate on Youtube and find more information about the event here.

SDGs 3: good health and well-being; 7: affordable and clean energy; 9: industry, innovation and infrastructure; 11: sustainable cities and communities

Contributing to the UN Sustainable Development Goals

The Focus Area “Artificial Intelligence for Engineering Systems” contributes mainly to SDG Goals 3 (Good Health and Well-Being), 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure), and 11 (Sustainable Cities and Communities). To a lesser extent, also to Goals 2 (Zero Hunger), 8 (Decent Work and Economic Growth), 10 (Reduced Inequalities), 12 (Responsible Consumption and Production), 13 (Climate Action).

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Artificial Intelligence for Engineering Systems
A female and a male student of Technical University of Denmark, talking to a 120-centimetre tall humanoid robot, which is to carry out teaching and research tasks.
We bundle our individual competencies in machine learning, artificial intelligence, computer vision, robotics, and mathematics.



Carlo van de Weijer

General Manager of Eindhoven AI Systems Institute, TU/e

Jan Kerschgens

Executive Director of Center for Intelligent Systems, EPFL

Shane O’Seasnáin

Director Program Board Eindhoven AI Systems Institute, TU/e