Video/Webinars
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.
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
Professional development resources for teachers/educators
AI for Teachers
AI for Teachers is a website dedicated to supporting the integration of Artificial Intelligence knowledge throughout K-12 learning.
Other
The Mechanics of Context-Aware Decision-Making Using AI
Blog post on AI, Cognition and Decision-making
Article/Books/eBooks
Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making
This paper aims at proposing a scalable architecture to provide real-time context-aware actions based on predictive streaming processing of data as an evolution of a previously provided event-driven service-oriented architecture which already perm
Video/Webinars
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.