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1958 - Frank Rosenblatt crea il perceptron presso il Cornell Aeronautical Laboratory, la prima rete neurale artificiale che poteva "imparare" a classificare i modelli.
L'algoritmo dimostrò che le macchine potevano "imparare" da esempi, non solo seguire regole rigide.
1969 - Marvin Minsky e Seymour Papert pubblicano il loro libro “Perceptrons: An Introduction to Computational Geometry” che includeva un’analisi dei limiti del perceptron.
https://mbrenndoerfer.com/writing/history-perceptron-neural-network-foundation
The Perceptron - Foundation of Modern Neural Networks - Interactive | Michael Brenndoerfer
In 1958, Frank Rosenblatt created the perceptron at Cornell Aeronautical Laboratory, the first artificial neural network that could actually learn to classify patterns. This groundbreaking algorithm proved that machines could learn from examples, not just follow rigid rules. It established the foundation for modern deep learning and every neural network we use today.