Displaying 34 resources
Article/Books/eBooks Article/Books/eBooks

AI fundamental blocks – beta release

This is the deliverable 2.2 of the AI4REALNET project. This work package objective consists on developing the AI fundamental blocks for augmented decision-making, namely novel AI algorithms for large-scale sequential decision-making problems.
Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Case studies Case studies
White paper White paper
Other Other

Loremipsum-TEST

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Category
Data and AI Platforms, Cooperation with partners, Sensing and processing methods
Target audience
Other, Private Sector, Researchers and Academic
Source
Adra-e
Seminar Seminar
Tutorial/How To/Guides Tutorial/How To/Guides
White paper White paper

Oratione

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Category
Sandboxes and Testbeds, Reasoning and decision-making Technologies, Technology methodologies and landscape
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

AI Fairness 360 (AIF360)

A GitHub repository for AIF360. The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifec
Category
Other
Target audience
Other
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. The What-If Tool (WIT) provides an easy-to-use interface for expanding understanding of a black-box classification or regression ML model.
Category
Reasoning and decision-making Technologies, Other
Target audience
Other, Researchers and Academic
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
Other, 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
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Could Artificial Intelligence Beat Mozart At His Own Game?

Category
Other
Target audience
Individual Citizens/Members of the Society
Source
Adra-e
Video/Webinars Video/Webinars

How will AI change the world?

Interview with Sam Altman (Founder of Open AI) on the future of AI.
Category
Other
Target audience
Individual Citizens/Members of the Society
Source
Adra-e
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Online course on Data Spaces for Mobility

Category
Other
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e