Displaying 37 resources
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
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Webinar: Knowledge-Assisted AI Applications for Real-World Network Infrastructure

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

Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Video/Webinars 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.

Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Case studies Case studies
White paper White paper

Holistic framework for AI in critical network infrastructures

Category
Action and Interaction Technologies, Systems, methodologies, hardware, and tools, Recommendations towards policy changes, Reasoning and decision-making Technologies, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Recommendations towards policy changes, Standards
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic, Individual Citizens/Members of the Society
Source
AI-OnDemand