Displaying 105 resources
Video/Webinars
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 and
Video/Webinars
Webinar "Distributed and Hierarchical Reinforcement Learning"
In this webinar, AI4REALNET project provides an overview of two emerging topics in Reinforcement Learning (RL): Distributed RL and Hierarchical RL.
For both DRL and HRL, a general definition of the paradigm is provided, discussing the learning object
Case studies
White paper
Application of the ALTAI tool to power grids, railway network and air traffic management
Article/Books/eBooks
Uncertainty-Based Learning of a Lightweight Model for Multimodal Emotion Recognition
Certification
Online Course
Video/Webinars
Towards functional safety management for AI-based critical systems
Case studies
White paper
Position paper on AI for the operation of critical energy and mobility network infrastructures
Article/Books/eBooks
An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.