Displaying 68 resources
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Webinar "Industry-driven Use Cases"

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

Webinar "Distributed and Hierarchical Reinforcement Learning"

Category
Action and Interaction 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
Adra-e

Structured Power Grid Simulation Dataset for Machine Learning: Failure and Survival Events in Grid2Op's L2RPN WCCI 2022 Environment

Category
Action and Interaction Technologies, Data for AI, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
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
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
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
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, presented at
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
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 and
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. For both DRL and HRL, a general definition of the paradigm is provided, discussing the learning object
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

Application of the ALTAI tool to power grids, railway network and air traffic management

Category
Recommendations towards policy changes, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector
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, Standards
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Other Other

The Mechanics of Context-Aware Decision-Making Using AI

Category
Action and Interaction Technologies
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector
Source
Adra-e