Unlocking the workforceHow can we all get back to work safely in the face of a lingering pandemic?
The agent perspectiveHow do we learn and understand the world? What separates us from machines? Yoshua Bengio believes it all comes down to our agency.
Building meaning: dog or ostrichHow 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.
Life, choice, and other problemsWe explore some problems physics as we know it has trouble dealing with and a new theory that may provide answers.
Understanding informationInformation is supremely powerful, yet it can't be described by traditional physics. Constructor theory provides a potential answer.
Is life unbounded?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.
The growth rate of COVID-19We all now know about R, but sometimes it can be good to consider another number: the growth rate of an epidemic.
The maths behind combining R ratiosIn 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.
Artificial intelligence takes on COVID-19Mathematicians are helping to develop an AI tool to help with diagnosing COVID-19 and making prognoses for infected patients.
Social distancing: How close is safe?How far can virus-carrying droplets fly in different environments — from buses to supermarkets? Maths can provide some answers.
