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.

Christian tells us how geometry can help improve methods for solving differential equations.

Harini talks about how work investigating the interaction of light and matter on the nanoscale, and some important applications.

Sophie tells us how computer algorithms that, in theory, are hopelessly inefficient, perform extraordinary well in practice.

Dragana talks about financial maths, the nature of research, and women in maths and computer science.

Janelle tells us how computer algorithms can help investigate crime scenes.

Chinedu tells us how fixed points can help improve algorithms designed to solve complex real-world problems.

Adele talks about her work on topology, inspired by spheres, doghnuts, and the power of maths to capture intuition.

What do young researchers in maths and computer science work on? We find out at the Heidelberg Laureate Forum 2019.

Atomic clocks are the best time keepers, but need to be kept incredibly cold. Paradoxically, the cooling is achieved by shining light on them.

Bitcoin is a digital currency that isn't regulated by any kind of central authority. The structure which allows this decentralisation is called blockchain. But how, and how well, does it work?