Displaying 63 resources
Software resources
Tutorial/How To/Guides
Fairlearn
Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.
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.
Certification
Online Course
Video/Webinars
Webinar: Knowledge-Assisted AI Applications for Real-World Network Infrastructure
Structured Power Grid Simulation Dataset for Machine Learning: Failure and Survival Events in Grid2Op's L2RPN WCCI 2022 Environment
This dataset was developed for and used in the paper titled "Fault Detection for Agents in Power Grid Topology Optimization: A Comprehensive Analysis" by Malte Lehna, Mohamed Hassouna, Dmitry Degtyar, Sven Tomforde, and Christoph Scholz, presented at
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
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
Certification
Online Course
Tutorial/How To/Guides