Neural networks are the layered, brain-inspired computing structures that underlie most modern AI systems, from language models to image recognition. This hub covers how neural networks work, the architectures and training methods behind them, and news on the research pushing them forward. Expect plain-language explainers.
A neural network is a layered computing system loosely inspired by the brain, tuned through training to turn raw data into predictions. Here is how the layers, weights, and learning process actually work.
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A plain-language explainer on the transformer, the 2017 neural network design that made ChatGPT, Claude, and nearly every modern AI model possible.
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