Neural networks are inspired by the human brain’s structure and function, consisting of layers of interconnected nodes or ’neurons.’ This concept was first introduced in the 1940s by Warren McCulloch and Walter Pitts, who created a computational model for neural networks based on mathematics and algorithms. Unlike traditional algorithms, neural networks learn from data, making them a cornerstone of modern AI applications such as image and speech recognition.