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.

Decision Blog Header

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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Debuggable Tensor Flow

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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GPFlow Blog Header

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 Header

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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Optimisation Header

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

PROWLER.io's AI Platform

Our lead Engineer, Neil Ferguson, explains how the PROWLER.io platform turns research into reality.

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Blog Scenes Diff-Dac

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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Why Principled AI Header

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 Header

Principled AI:

Technical mission statement on Principled AI by PROWLER.io chairman Prof. Carl Edward Rasmussen

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