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.
With just some simple arithmetic, you can build a basic mathematical model of how a disease might spread. Julia Gog explains how, and there's also some Lego action...
