Watch out, Congress: This neural network can predict public corruption

Scientists from the Higher School of Economics and University of Valladolid have developed a neural network that can predict corruption based on economic and political factors. The researchers, Félix J. López-Iturriaga and Iván Pastor Sanz, used self-organizing maps (SOMs), a kind of artificial neural network that aims to mimic brain functions, to predict corruption cases by detecting patterns within large amounts of … Continue reading “Watch out, Congress: This neural network can predict public corruption”

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