The future of AI for decision-making.
In their latest blog posts, our experts explain where we are travelling to - and where we are coming from.
The future of AI for decision-making.
In their latest blog posts, our experts explain where we are travelling to - and where we are coming from.
Mixture Density Networks in GPflow
Vincent shares a demonstration tutorial that uses GPFlow, a powerful, flexible framework for probabilistic modelling.
Read post
Learning non-linear dynamical systems with GPSSM
How to tame the mighty GPSSM! Stefanos proposes an approach that learns probabilistic dynamical models for understanding correlations and patterns in (non-)linear time-series.
Read post
Large-scale Distributed Optimisation for Machine Learning and Beyond
PROWLER.io are the first to suggest a fully distributed algorithm for solving symmetric diagonally dominant systems.
Read post
PROWLER.io's AI Platform
Our lead Engineer, Neil Ferguson, explains how the PROWLER.io platform turns research into reality.
Read post
Diff-DAC: Fully distributed deep reinforcement learning
"Psst, pass it on." Sergio, Aleksi and Enrique teach our AI agents to spread the word.
Read post
What is Principled AI? And how can we make the most of it?
Vishal Chatrath explains how Principled AI will soon be driving the world's economy
Read post
Principled AI:
Technical mission statement on Principled AI by PROWLER.io chairman Prof. Carl Edward Rasmussen
Read post
AI tools for automated game testing
Matthew, David and Haitham send our agents on a bug hunt to demonstrate how AI can help game developers save time and resources.
Read post
Tuneable Artificial Intelligence
Felix, Jordi and Haitham use a gaming example to introduce a powerful new tool for tuning AI
Read post
Probabilistic models underpin principled AI
Team leader James outlines Probabilistic Modelling's approach to principled decision making.
Read post