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SNARC (Stochastic Neural Analog Reinforcement Calculator) was an early neural network-based computing machine built in 1951 by Marvin Minsky and Dean Edmonds. It was designed to simulate a network of neurons and used stochastic processes to reinforce connections, effectively “learning” through trial and error. SNARC was an important precursor to artificial intelligence research, marking one of the first attempts to create machine learning.