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.



Image Features
This lecture overviews Image Features that have many applications in computer vision, image analysis, stereo vision, image registration, motion estimation and object tracking.



Region Segmentation
This lecture overviews Region Segmentation and Texture Description that have many applications in in image analysis, notably in shape description and object recognition It covers the following topics in detail: Image segmentation by thresholding.



Digital Images and Videos
This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images and colour theory come next.
An Introduction to PAC-Bayesian Analysis
This resource corresponds to 9th video from the AI Excellence Lecture Series.