In 1958, Frank Rosenblatt, a psychologist at Cornell Aeronautical Laboratory, introduced the perceptron, one of the earliest models of artificial neural networks. The perceptron was designed to recognize patterns and could be trained to differentiate between simple shapes. This innovation marked a significant moment in AI history, as it laid the groundwork for future developments in machine learning and neural networks.