Our latest blog posts

Written by the PROWLER.io team

Our latest blog posts

Written by the PROWLER.io team

Society of AI's Header

Society of AIs

Enrique and Sofia discuss how the Multi-Agent Systems team here use Game Theory and Machine Learning to tackle problems like managing taxi fleets.

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Decision Blog Header

Decision-making for the real world

Aleksi and Neil explain how reinforcement learning that uses probabilistic models can make real-world decisions.

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Debuggable Tensor Flow

Find bugs in the herd with debuggable TensorFlow code

PROWLER.io's Wei Yi makes debugging TensorFlow code less of a chore.

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Decentralised Learning Header

Decentralised Learning with many, many agents

David 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

Why Principled AI?

Because by 2025, Principled AI will drive the world economy – by Vishal Chatrath

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