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.
The secret to scalable reinforcement learning
Find out how our NeurIPS 2018 paper solves multiple RL problems, simultaneously.
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Five key papers from NeurIPS 2018
The NeurIPS 2018 conference accepted eight research papers from PROWLER.io and the world-leading institutions and researchers we regularly collaborate with.
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A Dynamic Summit - Special report
Vishal Chatrath, CEO and Co-founder of PROWLER.io on a ground-breaking two days in Cambridge
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Decision time for Decision-Making - A preview
Vishal Chatrath on why the Decision Summit comes at a crucial time for Artificial Intelligence.
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Computer says you need an umbrella
The day-to-day decisions we make might appear simple, even trivial. James Hensman, Head of Probabilistic Modelling at PROWLER.io, unravels some of the secrets of AI for decision making.
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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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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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