This inspiring conference featured speakers from Africa, the US, the Caribbean and the UK. Here are some highlights.

How can sporting events, concerts, or festivals be kept safe in the face of rising COVID-19 infections?

A quick introduction to an abstract concept that's useful in anything from genetics to cosmology.

The organisers of a new INI programme explain why we need to know more about the maths behind machine learning and deep neural networks.

Machine learning started with supervised learning and us providing all the training materials, but we are finding ways for algorithms to learn with far fewer resources.

A quick look at one of the most important theorems in number theory.

What can last year's experiences tell us about the coming academic year?

Explore the maths behind machine learning and deep neural networks with this collection of short introductions and in-depth articles.

Whether you're lost on a mountainside, or training a neural network, you can rely on the gradient descent algorithm to show you the way!

Machine learning makes many daily activities possible, but how does it work?

When trying to build an artificial intelligence, it makes sense to mimic the human brain. Artificial neurons do just that.

How to take the square root of a complex number — and discover a beautiful new surface in the process.