Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

This refers to the fact that — for complex neural networks — researchers don’t entirely understand how the individual neurons combine to create their final output.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Liquid neural networks can spur new innovations in AI and are particularly exciting in areas where traditional deep learning models struggle.

Many of the pioneers who began developing artificial neural networks weren’t sure how they actually worked - and we’re no more certain today.