Artificial intelligence, machine learning, deep learning – these ideas now frequently appear in the news, are part of important debates in government, and a growing discussion in wider society. We all need to know what they mean so we too can be part of the conversation.

To find out more we spoke to Chris Budd and Yury Korolev from the University of Bath, and Kweku Abraham from the University of Cambridge. They are all researchers in this area and are members of the Maths4DL (mathematics for deep learning) research project. Here is what we learned.

What is artificial intelligence? – Artificial intelligence (AI) is an umbrella term for a large set of ideas revolving around reasoning by non-living objects, such as computers. Find out more in this article.

What is machine learning? — One of the most significant developments in artificial intelligence, where rather than teaching a machine explicitly how to do a complex task (in the sense of a traditional computer program), instead the machine learns directly from the experience of repeatedly doing the task itself. Find out more in this article.

What is deep learning? — Deep learning is a particular type of machine learning where an iterative process of transforming the inputs is used to recognise structures in the raw input data. Find out more in this article.

 

This content was produced as part of our collaboration with the Mathematics for Deep Learning (Maths4DL) research programme. Maths4DL brings together researchers from the universities of Bath and Cambridge, and University College London and aims to combine theory, modelling, data and computation to unlock the next generation of deep learning. You can see more content produced with Maths4DL here.