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You've probably heard of reinforcement learning (or RL for short) if you've spent any time reading about technology or control theory, but what does it really mean? Let us explain.

Everyone has heard of the so-called “Google Algorithm” and other social media algorithms used to find the most compelling content for each person. But what does that actually mean? How does it work and what is going on inside your computer?

What does stability mean in control theory, and what do shapes have to do with it? Grab a pen, an empty toilet roll and a pair of scissors: Wouter Jongeneel has something to teach you.

The distinction between “convex” or “non-convex” optimization isn’t just a technicality. Convexity makes for calculations that can guarantee the best result in an automated process – here’s how.

Humans have been trying to do more with less for a very long time. We’d like cars and planes that go further but use less fuel and have a smaller carbon footprint. We’d like food that is optimally nutritious but also affordable, and we’d like energy solutions for our house, cities and countries that are effective but also green and affordable.