Displaying 281 resources
Video/Webinars Video/Webinars

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.

Category
Action and Interaction Technologies, Data for AI, Reasoning and decision-making Technologies, Sensing and perception technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

What-If Tool

A GitHub repository for the What-If Tool.

Category
Reasoning and decision-making Technologies, Other
Target audience
Researchers and Academic, Other
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

Fairlearn

Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.

Category
Data for AI, Reasoning and decision-making Technologies, Other
Target audience
Researchers and Academic, Other
Source
Adra-e
Video/Webinars 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.

Category
Certification and Compliance, Trustworthiness
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

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.

Category
Action and Interaction Technologies, Data for AI, Reasoning and decision-making Technologies, Sensing and perception technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e

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,

Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e