
Webinar "Industry-driven Use Cases"
AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modelled by networks that can be simulated and traditionally operated by humans and where AI complements a

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

100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification
A large-scale, diverse posture-based distracted diver dataset, with more than 470K images taken by 4 cameras observing 100 drivers over 79 hours from 5 vehicles.

AI4Experiments platform
The AI4Experiments platform is an open space for AI developers. The platform offers visual and intuitive design methods. It facilitates the creation of human-centered AI-solutions, building modular structures and using hybrid AI technologies.

Kennis Net (Dutch)
This programming learning track is intended for lower, middle and upper secondary education. The learning track deals with concepts and principles associated with programming.

Code Avengers
Code Avengers is an online education company designed to teach people how to code webpages, apps and games. It offers eight different tracks, including coding languages and more related skills.