What neural networks are and how they work

Neural networks are the foundation of nearly all AI systems — from image and speech recognition to generative text models and real-time data analysis. Their origin lies in biology.

The basic unit is the neuron, which receives input data, processes it according to weights, sums it and passes it through an activation function. The weights determine the importance of each input and are adjusted during training.

Today's neural networks don't fully replicate the brain, but rely on the same principles: many connected units cooperating to create complex decisions and predictions.