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:
- Technical University of Denmark, Department of Applied Mathematics and Computer Science (DTU Compute)
- École polytechnique fédérale de Lausanne, Center for Intelligent Systems (CIS)
- École Polytechnique
- Technion Israel Institute of Technology: Center for Machine Learning & Intelligent Systems (MLIS)
- Eindhoven University of Technology, Eindhoven AI Systems Institute (EAISI)
- Technical University of Munich, Munich School of Robotics and Machine Learning (MSRM)
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.
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).