In the 1940s, AI-pioneers mimicked the structure of the human brain. AI has since diverged and had tremendous success on its own, but the state of the art of Deep Learning today is still far from human intelligence. Industries happily apply the discipline “as is”. But recent research shows how fruitful the use of biologically inspired hard- and software could be. This article aims to highlight some promising work in that direction; and urge AI practitioners for an open mind towards these advances.
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