1957
Frank Rosenblatt, a psychologist and computer scientist, develops the Perceptron, an early artificial neural network that enables pattern recognition based on a two-layer computer learning network. The Perceptron introduces the concept of a binary classifier that can learn from data by adjusting the weights of its inputs through learning algorithms. While limited to solving linearly separable problems, it laid the foundation for future neural networks and machine learning developments.
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