Artificial intelligence has once again pushed the boundaries of what is possible. On November 14, 2025, an AI system, aptly ...

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...

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 ...

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 ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Title: Improving healthcare with queuing, optimization, and neural networks (all the applied math I'd never heard of) Abstract: Queuing theory, mathematical programming, machine learning, neural ...

We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates questions at a human level. We automatically ...

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 ...

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale ...