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.

Cornell professor and researcher Steven Strogatz sees math everywhere. We asked Strogatz — a 2023 top award winner of the ...

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, ...

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

Facebook researchers built a new neural network that can solve complex mathematical equations, even those dealing with calculus. Here's how it works.

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

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 ...