
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

The Mechanics of Context-Aware Decision-Making Using AI
Blog post on AI, Cognition and Decision-making

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

Uncertainty-Based Learning of a Lightweight Model for Multimodal Emotion Recognition
In this paper, the authors propose a lightweight neural network architecture that extracts and performs the analysis of multimodal information using the same audio and visual networks across multiple temporal segments.

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.



Gesture Recognition
This lecture overviews Gesture Recognition that has many applications in Human-Machine Interaction (HMI), Human-Robot Interaction (HRI), Sign Language, Navigation or/and the manipulation in VR environment and Distance learning.