HomeR&I Focus AreasArtificial Intelligence for Engineering Systems

Artificial Intelligence for Engineering Systems

Intelligent systems are emerging in response to the convergence of the virtual and physical worlds. This is happening through the development of autonomous systems, driverless cars, wearable technologies, robotic co-workers and AI robots, smart devices, drone technology, augmented reality, computer vision, intelligent houses, digital twins, intelligent manufacturing, and many other applications.

EuroTech Universities all have a tradition in researching and developing high-tech systems, which positions them particularly well to meet the rapidly increasing demand for skilled 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, deep learning technology and the enormous industrial interest and investment enable AI to take over many tasks, some of which are currently being performed 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.

Chips for Europe: Capitalising on our strengths in semiconductor innovation and skills

On 5 May 2022, we organised an online EuroTech Policy Deep Dive to share the views of universities on the European Chips Act, published by the European Commission in 2022. We also used the event to highlight some of our expertise available at the six EuroTech Universities.

You can find more information on 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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Carlo van de Weijer

General Manager of Eindhoven AI Systems Institute, TU/e

Jan Kerschgens

Executive Director of Center for Intelligent Systems, EPFL
Maria Sigutina, EPFL and TU/e

Maria Sigutina

Liaison Officer, EPFL & TU/e