By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

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.

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Arguably the most powerful binary classification technique is a neural network model. There are several tools and code libraries that you can use to create a neural network classifier. The ...

The ideal size and intricacy of neural networks remain a matter of debate. Does neural network complexity matter? AI experts weigh in.

Using 19th-century math, a team of engineers revealed what happens inside neural networks they've created. The calculations are familiar.

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java.

Computer-based neural networks can learn to do tasks. A new type of material, called a mechanical neural network, applies similar ideas to a physical structure.

Curious about this strange new breed of AI called an artificial neural network? We've got all the info you need right here.