Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research.

Artificial neural networks (ANN s) have proven to be extremely useful for solving problems such as classification, regression, function estimation and dimensionality reduction. However, it turns ...

Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

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

What are artificial neural networks used for? There are several ways artificial neural networks can be deployed including to classify information, predict outcomes and cluster data.

Computers organized like your brain: that's what artificial neural networks are, and that's why they can solve problems other computers can't.

Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron ...

Editor’s note: One of the central technologies of artificial intelligence is neural networks. In , Tam Nguyen, a professor of computer science at the University of Dayton, explains how neural ...

But there are several key differences between how AI and humans think and learn. Most recent AI is built from artificial neural networks, or “neural nets” for short.