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.
Decisions, decisions - how AI solutions can triumph over the human mind
Aleksi and Neil explain how reinforcement learning makes decisions in the real world.
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A guide to bugs, where to find them and what to do with them
PROWLER.io's Wei Yi makes debugging TensorFlow code less of a chore.
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The agents are multiplying - how AI should (and can) cope
David Mguni shows how Reinforcement Learning and Multi-agent Systems can come together to fix previously insoluble problems.
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Mixture Density Networks in GPflow
Vincent shares a demonstration tutorial that uses GPFlow, a powerful, flexible framework for probabilistic modelling.
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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.
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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.
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PROWLER.io's AI Platform
Our lead Engineer, Neil Ferguson, explains how the PROWLER.io platform turns research into reality.
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Diff-DAC: Fully distributed deep reinforcement learning
"Psst, pass it on." Sergio, Aleksi and Enrique teach our AI agents to spread the word.
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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
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Principled AI:
Technical mission statement on Principled AI by PROWLER.io chairman Prof. Carl Edward Rasmussen
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