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.

Play Video

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.

Play Video about Chips for Europe

The EU AI Act: Landmark or stumbling block for researchers and innovators?

The EU AI Act will introduce an approach of evaluating risks of AI systems on the principles of ethical AI. Its impact will be felt widely across different industries as the law creates new regulatory obligations for AI tools. The AI Act does not directly target research. However, universities and their partners often work very close to the market in developing new technologies and systems for AI. What will the EU AI Act mean for research-industry collaboration, for university start-ups, and for researchers working in ‘high-risk’ AI areas. We addressed those and more questions in this EuroTech Policy Deep Dive.

Play Video
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).

Related Content

Related Projects

Related Working Groups​

Contact

Jan Kerschgens

Lead
Executive Director of Center for Intelligent Systems, EPFL

Carlo van de Weijer

Lead
General Manager of Eindhoven AI Systems Institute, TU/e
Maria Sigutina, EPFL and TU/e

Maria Sigutina

Coordination
Liaison Officer, EPFL & TU/e