It’s not easy to put the intelligence in artificial intelligence. Current machine learning techniques generally rely on huge amounts of training data, vast ...

When completing math problems, students often have to show their work. It’s a method teachers use to catch errors in thinking, to make sure students are grasping mathematical concepts correctly. New ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

Artificial intelligence has moved from checking homework to attacking problems that professional mathematicians once treated ...

Geordie Williamson is a Professor at the University of Sydney, and a consultant in Pure Mathematics for DeepMind, a subsidiary of Alphabet. Research in mathematics is a deeply imaginative and ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

We hear all the time about project-based learning. But how does it really work? Of all the tools humans have ever created to help describe and understand our world, few are more useful than ...

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures. Mathematicians often work ...

Editor’s Note: Global Math Week begins October 10 and contains events such as a kickoff symposium with short talks by women and men from all over the world describing their own joyous experiences with ...