DeepMind aims to marry deep learning and classic algorithms

Today, they both work a lot with machine learning, in which a fundamental question for a long time has been how to generalize -- how do you work beyond the data examples you've seen? Algorithms are a really good example of something we all use every day, Blundell noted. In fact, he added, there aren't many algorithms out there. If you look at standard computer science textbooks, there's maybe 50 or 60 algorithms that you learn as an undergraduate. And everything people use to connect over the internet, for example, is using just a subset of those.