What can maths tell us about how to make universities safe from COVID-19?

You may have heard about the Fibonacci sequence, but have you heard of N-bonacci sequences?

Getting a different picture of our planet.

How can we all get back to work safely in the face of a lingering pandemic?

How do we learn and understand the world? What separates us from machines? Yoshua Bengio believes it all comes down to our agency.

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.