
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

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

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.

ALIGNER Fundamental Rights Impact Assessment
Artificial intelligence can enhance law enforcement agencies’ capabilities to prevent, investigate, detect and prosecute crimes, as well as to predict and anticipate them.

Getting Started with Robotic Industrial Inspections
With workforce shortages and employee safety a number one concern, industrial teams are looking to robotic automation solutions to improve efficiency of operations.

Company Law Review Group’s Annual Report: proliferation of AI
The Company Law Review Group compiled a report for the Minister for Trade, Enterprise & Employment regarding how the proliferation of AI may impact on company law.