The EMS Prizes 2024: Richard Montgomery
Richard Montgomery has won a prestigious EMS Prize at the European Congress of Mathematics 2024 for work on objects so ubiquitous in everyday life it's easy to forget they're mathematical: networks.
Marianne Freiberger is Editor of Plus. She joined Plus in 2005 after doing a PhD and then a three year postdoc at Queen Mary, University of London. As a researcher she worked in complex dynamics, the area of pure maths that has given us the Mandelbrot set. During her time as a researcher she also held various teaching engagements. In the world of maths communication she has been Editor-in-Chief of the Mathscareers website, given presentations to mathematicians about how to communicate their work to a wider audience, and to journalists about how to deal with maths in the media. She has been a TEDx speaker and an invited speaker at the International Congress of Mathematicians in 2010.
Richard Montgomery has won a prestigious EMS Prize at the European Congress of Mathematics 2024 for work on objects so ubiquitous in everyday life it's easy to forget they're mathematical: networks.
This article describes how you can describe the entire universe of Riemann tori (surfaces that look like dooughnuts) in one go.
A Riemann torus is a surface that looks like a doughnut. This articles explored how you might tell Riemann tori apart.
How many different surfaces are there? The question seems impossible to answer, but mathematicians have a way of dealing with the multitude. Follow us on a journey into the world of moduli spaces.
With bird flu spreading through cattle herds in the US and infecting humans, the diseases poses a severe threat to wild life, poultry and also people. What can mathematical modelling do to help?
The age of Big Data poses a risk to our privacy as even anonymised data can sometimes be linked to individuals. Differential privacy provides a way of protecting sensitive information even when some of it is made public.
How does artificial intelligence manage to produce reliable outputs? Stochastic gradient descent has the answer!
The advent of artificial intelligence poses new threats to the privacy of our personal data. We explore the challenges and a way to address them.
Will AI one day be able to spot the equation that describes a physical process just by looking at a video of it?
We look at the recent rise in measles cases, why it has led to a national health incident being declared, and what can be done to avert the threat.
We are very pleased to be launching this network for those working in, and with a stake in, communicating complex mathematics and data science to a variety of non-expert audiences.
The Abel Prize 2024 has been awarded to Michel Talagrand for ground breaking contributions to probability theory and functional analysis.