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A study published last month suggests that natural and artificial networks learn in similar ways, at least when it comes to language. The researchers — led by Gašper Beguš, a computational linguist at the University of California, Berkeley — compared the brain waves of humans listening to a simple sound to the signal produced by a neural network analyzing the same sound. The results were uncannily alike. “To our knowledge,” Beguš and his colleagues wrote, the observed responses to the same stimulus “are the most similar brain and ANN signals reported thus far.”
