‘Turing Learning’ allows machines to learn by observation
Machines can learn from observing other machines, using what researchers call Turing Learning. Roboticists from the University of Sheffield found that it is possible for swarms of robots to learn from other swarms of robots by simply observing their actions. Until today, it was believed that machines can only learn when told what to look for by humans. The new discovery uses what the team described as ‘Turing Learning’, a technique inspired by the famous Turing test, in which a machine attempts to fool a person that is it actually a human. “Our study uses the Turing test to reveal how a given system – not necessarily a human – works,” explained Roderich Gross from the Department of Automatic Control and Systems Engineering at the University of Sheffield. “In our case, we…
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