Displaying 5 resources
White paper White paper

Holistic framework for AI in critical network infrastructures

This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operator

Category
Action and Interaction Technologies, Real-time context aware decision making, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Legal framework and regulation, Recommendations towards policy changes, Reasoning and decision-making Technologies, Hybrid Decision Making, Trustworthiness, Systems, methodologies, hardware, and tools, Support tools, System architectures
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

Decentralized-gnn

A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes.

Category
System architectures, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

PandA: Unsupervised learning of parts and appearances in the feature maps of GANs

We propose an architecture-agnostic approach that jointly discovers factors representing spatial parts and their appearances in an entirely unsupervised fashion.

Category
System architectures
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

OzoBot

Ozobot is redefining the role of robotics in education with our award-winning coding robots and STEAM-based learning solutions.

Category
Sensing and processing methods
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Online Course Online Course

AI in Middle School Science Topics

Any instance where there is a large amount of data to be examined or processed that would take a lot of time for a person to examine, AI can do it and not get distracted, fatigued, or bored. This makes it a helpful tool for scientists to use.

Category
Sensing and processing methods, Architecture of sensing and perception systems, Meta-data contexts
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e