Self-awareness for autonomous systems
Self-awareness is a broad concept borrowed from cognitive science and psychology that describes the property of a system, which has knowledge of “itself,” based on its own senses and internal models.
Towards Trustworthy AI – Integrating Reasoning and Learning
Europe has taken a clear stand that we want AI, but we do not want just any AI. We want AI that we can trust.
Robots Learning (Through) Interactions
The acquisition and self-improvement of novel motor skills is among the most important problems in robotics.



AI and Computational Politics
The aim of this lecture is to a) define Computational Politics as a discipline lying at the intersection of Political science and Computer science and b) present the use of AI and IT tools in political data analysis.



Digital Pathology: On the intersection of Computer Vision and Data Science
Due to the proliferation of whole-slide-imaging (WSI) digital scanners it is now possible to leverage computer vision, image analysis, and machine learning techniques, such as deep learning to process the digital pathology images in hopes to deriv



Real-World Learning
In the past decade, artificial intelligence has made remarkable progress, achieving feats like self-driving cars, defeating go-masters, and precise image categorisation through supervised deep learning with labelled data.