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June 15, 2018 04:41 pm
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/lweBr5qJsYY/deepmind-self-training-computer-creates-3d-model-from-2d-snapshots
DeepMind Self-training Computer Creates 3D Model From 2D Snapshots
DeepMind, Google's artificial intelligence subsidiary in London, has developed a self-training vision computer that generates 'a full 3D model of a scene from just a handful of 2D snapshots," according to its chief executive. From a report: The system, called the Generative Query Network, can then imagine and render the scene from any angle [Editor's note: the link maybe paywalled; alternative source], said Demis Hassabis. GQN is a general-purpose system with a vast range of potential applications, from robotic vision to virtual reality simulation. Details were published on Thursday in the journal Science. "Remarkably, [the DeepMind scientists] developed a system that relies only on inputs from its own image sensors -- and that learns autonomously and without human supervision," said Matthias Zwicker, a computer scientist at the University of Maryland who was not involved in the research. This is the latest in a series of high-profile DeepMind projects, which are demonstrating a previously unanticipated ability by AI systems to learn by themselves, once their human programmers have set the basic parameters.Read more of this story at Slashdot.
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/lweBr5qJsYY/deepmind-self-training-computer-creates-3d-model-from-2d-snapshots
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