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Researchers trained a neural network — a software system that learns by spotting patterns in large amounts of data — using animated videos of simple objects such as cubes and balls. The network, named Physics Learning through Auto-encoding and Tracking Objects , was trained on tens of hours of videos showing simple mechanisms such as a ball rolling down a slope or two balls bouncing off each other, and developed the ability to predict how those objects would behave in different situations.
PLATO’s creators say that it was not designed as a model of infant behaviour, but could be a first step towards artificial intelligence that can test hypotheses about how human babies learn. Many people are concerned about future quantum computers’ ability to break the cryptographic keys that modern life currently depends on; these protect everything from smartphone apps to online payments.
NIST and others will now consider how to build the algorithms into real applications and undertake test deployments. Once this phase is complete, technology providers will be able to introduce the algorithms during periodic software updates.
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