Machine learning has led to computers designing their own algorithms that can complete incredibly complex tasks previously thought to only be solvable by humans – from spotting a piece of spam mail to beating the world’s leading Go player. However, when we look under the bonnet of how these algorithms are put together, computer scientists are unable to gain any insight as to how the computer arrived at its solution.
Join our expert panel of machine learning specialists – Joanna Bryson, Miranda Mowbray and Stephen Roberts - who will discuss how we might go about understanding the thought-process of a machine learning algorithm.
This event is part of the New Scientist Live 2016.
For all enquiries, please contact email@example.com