How do we build our models of the world? Yoshua Bengio explains how deep learning will help machines act to understand the world in a similar way.

We explore some problems physics as we know it has trouble dealing with and a new theory that may provide answers.

Information is supremely powerful, yet it can't be described by traditional physics. Constructor theory provides a potential answer.

Acknowledging that life is going to go on for a little while yet throws a different light on how we make decisions in a crisis.

We all now know about R, but sometimes it can be good to consider another number: the growth rate of an epidemic.

In a previous article we introduced the problems that can arise when combine the reproduction ratios of a disease in different settings, such as hospitals and the community. In this article we dive into the maths that helps you get to the bottom of these problems.

Mathematical models can help the nation return to (some sort of) normality.

Mathematicians are helping to develop an AI tool to help with diagnosing COVID-19 and making prognoses for infected patients.

How far can virus-carrying droplets fly in different environments — from buses to supermarkets? Maths can provide some answers.

We explore why you need to be extremely careful when combining the reproduction ratios of a disease in different settings, such as hospitals and the community.

Change is the only constant in our lives — which is why differential equations are so useful.