A critique of pure learning and what artificial neural networks can learn from animal brains | Nature Communications

Not long after the invention of computers in the 1940s, expectations were high. Many believed that computers would soon achieve or surpass human-level intelligence. Herbert Simon, a pioneer of artificial intelligence (AI), famously predicted in 1965 that “machines will be capable, within twenty years, of doing any work a man can do”—to achieve general AI. Of course, these predictions turned out to be wildly off the mark.

Source: A critique of pure learning and what artificial neural networks can learn from animal brains | Nature Communications

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