ADR Awareness Centre

The emergence of interconnected cyber-physical systems and sensor/actuator networks has given rise to advanced automation applications, where a large amount of sensor data is collected and processed in order to make suitable real-time decisions an

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

Unlock the world of Geometric Learning and Graph Convolutional Networks (GCNs) in this comprehensive course designed to empower you with cutting-edge knowledge and practical skills.

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.

In Gray Box Optimization, the optimizer is given access to the set of M subfunctions. We prove Gray Box Optimization can efficiently compute hyperplane averages to solve non-deceptive problems in time.

The acquisition and self-improvement of novel motor skills is among the most important problems in robotics.

This lecture is held every winter semester as part of the Audio Signal Processing & Audio Systems Module at TU Ilmenau.

Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.

This resource corresponds to the 2nd video from the AI Excellence Lecture Series.

This resource corresponds to 4th video from the AI Excellence Lecture Series.

This resource corresponds to 3rd video from the AI Excellence Lecture Series.

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.