ADR Awareness Centre

We present non-Markov decision processes, where rewards and dynamics can depend on the history of events. This is contrast with Markov Decision Processes, where the dependency is limited to the last state and action.

This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.

Inspired by scenario writing methods to foster discussion on the societal implications of technology and regulation, the paper develops a ‘legal fiction scenario’ to anticipate the impact of the proposed European 

The project aimed to implement fair automatic recognition by offering guidance in policy development on an European and national level.

This web-based tool is an easy way to create machine learning models for your sites, apps with no coding knowledge required.

Bee-Bot is an exciting robot designed specifically for use by young children. It is a perfect tool for teaching control, directional language and programming, sequencing, estimation, problem-solving, and just having fun!