If the network is more transparent, it’s easier to determine where the problems are cropping up. Of course. And if the network is smaller, it’s easier from the point of view of a human.

It’s even more difficult to understand a deep neural network that’s crunching a system such as Earth’s climate, which consists of myriad moving parts. Still, the rewards are worth the work.

This particular type of neural network is called a Spiking Neural Network (SNN) which uses discrete events, called “spikes”, instead of continuous real-valued activations.

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works. In this article, you’ll learn the basics ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network. The Journal of the Acoustical Society of America, 2025; 157 (3): 1665 DOI: 10.1121/10.0035829 ...

Artificial neural networks are a form of deep learning and one of the pillars of modern-day AI. The best way to really get a grip on how these things work is to build one. This article will be a ...