Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

How neural networks work—and why they’ve become a big business Neural networks have grown from an academic curiosity to a massive industry.

Neural networks have revolutionized artificial intelligence. Here’s a look at the advantages, science, architecture behind them.

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

They can use neural networks to find patterns and associations beyond the subject of chemotherapy. Artificial neural networks, as they currently stand, don't create new answers out of existing data.

We’re told neural networks ‘learn’ the way humans do. A neuroscientist explains why that’s not the case — and why AI can't think like us yet.

Understanding data encoding and normalization is an absolutely essential skill when working with neural networks. James McCaffrey walks you through what you need to know to get started.

A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher. Artificial neurons—the fundamental building blocks of deep neural networks—have survived almost ...