
Webinar "Towards Transparent, Safe and Trustworthy AI for critical infrastructures"
This webinar focuses on the development of safe, explainable, and algorithmically transparent methods as part of the AI4REALNET project.

Explainable AI for systems with functional safety requirements
Explainable AI (XAI) is vital for making AI decision-making processes transparent and understandable to human experts, and for ensuring safety and regulatory compliance.

Webinar: Knowledge-Assisted AI Applications for Real-World Network Infrastructure
This webinar showcases how the AI4REALNET project is driving innovation in critical infrastructure through advanced AI applications.

Towards functional safety management for AI-based critical systems
The webinar provides attendees with a comprehensive understanding of the challenges and opportunities associated with integrating AI into safety-critical systems.

OzoBot
Ozobot is redefining the role of robotics in education with our award-winning coding robots and STEAM-based learning solutions.

AI in Middle School Science Topics
Any instance where there is a large amount of data to be examined or processed that would take a lot of time for a person to examine, AI can do it and not get distracted, fatigued, or bored. This makes it a helpful tool for scientists to use.