A computational architecture that processes information through layers of interconnected nodes, with each connection carrying a learned weight. Neural networks are not deterministic rule-based systems. Rather, they learn statistical patterns from training data, which explains both their capabilities and their tendency to produce confident-sounding errors. The term "neural" is a historical metaphor; these systems do not function like biological brains.
See: Deep learning; Transformer; Weights