In 1957, Frank Rosenblatt, a psychologist at the Cornell Aeronautical Laboratory, introduced the perceptron, a type of artificial neural network. It was one of the earliest models designed to mimic the thought processes of the human brain. The perceptron was initially funded by the U.S. Navy and aimed to recognize patterns and shapes, paving the way for future developments in machine learning and neural networks.