Displaying 6 resources
Case studies Case studies

Evaluation and test protocols

This is deliverable 4.1 of AI4REALNET project.

Category
human-centric ai, Data for AI, Experiment and Deployment, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, professionals, Researchers and Academic
Source
Adra-e
Case studies Case studies

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
human-centric ai, public reports, Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, professionals, 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

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
Individual Citizens/Members of the Society, professionals, Researchers and Academic
Source
Adra-e

100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification

Category
Data for AI
Target audience
professionals, Researchers and Academic, Individual Citizens/Members of the Society
Source
Adra-e

SAFEXPLAIN Introduction to Trustworthy AI for Safety-Critical Systems

Category
Data for AI, Reasoning and decision-making Technologies, public reports
Target audience
Individual Citizens/Members of the Society, professionals
Source
Adra-e