We may be a little closer to a direct detection of dark energy thanks to a new result that came about, in a sense, by accident.
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.
Have you ever noticed the strange phenomenon of wheels appearing to move backwards while the vehicle is moving forwards? Aadit Jain explains why!
The organisers of a new INI programme explain why we need to know more about the maths behind machine learning and deep neural networks.
We celebrate with some of our friends, all women doing pioneering work using machine learning in a wide range of applications.
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?
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!