From Perceptron to MLP
In 1958, Frank Rosenblatt built a model that could learn simple logical patterns from data — and in 1969, Minsky and Papert proved it could never learn XOR, a result that froze neural network research for over a decade. The fix, once found, was a single conceptual change: stack more than one layer, with something non-linear between them.