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 ...

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.

If deep neural networks exhibit absorbing phase transitions, then universal scaling laws may apply, providing a unified framework for describing how they function.

Deep learning A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN) structure.

It was deep learning’s Big Bang moment. After many years of false starts, they had showed that neural networks were amazingly effective at pattern recognition after all.