A 1943 paper by McCulloch and Pitts introduced the first mathematical model of a neural network, using logic to simulate brain-like processing. It laid the foundation for artificial intelligence and machine learning. Researchers, data scientists, and computer engineers benefit from its principles, which guide modern AI development in pattern recognition and decision-making systems.
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