By translating symbolic math into tree-like structures, neural networks can finally begin to solve more abstract problems.

Using 19th-century math, a team of engineers revealed what happens inside neural networks they've created. The calculations are familiar.

Neural network training is time consuming and expensive. In particular, the need for large training sets with pre-labeled data is especially problematic for applications wuch as autonomous vehicles, ...

Other neural nets haven’t progressed beyond simple addition and multiplication, but this one calculates integrals and solves differential equations.

If you said "seven," you're right. And you're also better at math than state-of-the-art deep learning neural networks. AI researchers from Google's DeepMind this week published research in which ...

When you think about how a neural network can beat a Go champion or otherwise accomplish tasks that would be impractical for most computers, it's tempting to attribute the success to math. Surely ...

Over the last few years, we've heard a lot about neural networks, whether its Google's Deep Dream software creating horrifying digital dreamscapes or composites of pop songs written by a machine ...

Lecture Topic. From Differential Geometry to Artificial Intelligence. On-Site Report of the Lecture. On August 10 at 10:00 AM ...

Although lecture is the traditional method of university mathematics instruction, there has been little empirical research that describes the general structure of lectures. In this paper, we adapt ...