Non-Markov Decision Processes and Reinforcement Learning
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.
gnntf: A Flexible Deep Graph Neural Network Framework
This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.
Teachable Machine
This web-based tool is an easy way to create machine learning models for your sites, apps with no coding knowledge required.
Bee-Bot
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!
Erase Your Face
In the grand scheme of frustrations related to the pandemic, this one's small: you hold your phone up so Face ID can unlock it. You sit there for a few seconds before realizing, oh right, you’ve got a mask on! Your phone doesn't recognize you.
Use of artificial intelligence in enterprises
This article presents recent statistical data on the use of artificial intelligence (AI) technologies by EU enterprises.