White paper
Holistic framework for AI in critical network infrastructures
This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operator
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AI and Education Sciences
This lecture overviews the impact of AI on Education Sciences. First an overview of Machine Learning is presented, focusing on the use of data in learning.
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Online Course
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AI and Book Publishing
This lecture overviews the relation between AI and book publishing. First, an in informative summary of “What is AI?” is presented, containing topics such as Symbolic AI, Data, Machine Learning (Clustering, Classification and Neural Networks).
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AI in Medical Imaging
This lecture overviews the relation between AI and medical imaging and diagnosis.
Certification
Online Course
Tutorial/How To/Guides
Few Shot Object Recognition
This lecture overviews Few Shot Object Recognition that has many applications in image classification, when few training data are available. It covers the following topics in detail: Few-shot Image Learning definitions and methods.
Certification
Online Course
Tutorial/How To/Guides
Moving Image Perception
This lecture overviews Moving Image Perception that has many applications in video acquisition, processing and coding. It covers the following topics in detail: Human Vision Modeling.