More than 70 years ago, researchers at the forefront of artificial intelligence research introduced neural networks as a revolutionary way to think about how the brain works. In the human brain, ...

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren’t the only path forward. Almost all commercial machine ...

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 it's ...

Overview: Free university playlists offer clear and accessible AI lessons backed by real classroom teaching.Videos explain ...

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Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...

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 they ...

April 30, May 1 & 2, 2025, join us for the 35th Edition of the Myhill Lecture Series: Link homology and other applications of defect networks, featuring Mikhail Khovanov (Johns Hopkins University).

Here’s a challenge for the mathematically inclined among you. Solve the following differential equation for y: You have 30 seconds. Quick! No dallying. The answer, of course, is: If you were unable to ...

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. But ...