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Registered: 04-2018
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China's AI scientists teach a neural net to train itself


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Researchers at China's Sun Yat-Sen University, with help from Chinese startup SenseTime, improved upon their own attempt to get a computer to discern human poses in images by adding a bit of self-supervised training. The work suggests continued efforts to limit the reliance on human labels and "ground truth" in AI.More and more, AI is trying to make machines teach themselves with a minimum of human guidance. So-called self-supervision is an element that can be added to lots of machine learning tasks so that a computer learns with less human help, perhaps someday with none at all.

Scientists at China's Sun Yat-Sen University and Hong Kong Polytechnic University use self-supervision in a new bit of research to help a computer learn the pose of a human figure in a video clip.

Understanding what a person is doing in a picture is its own rich vein of machine learning research, useful for a whole number of things including video surveillance. But such methods rely on "annotated" data sets where labels are carefully applied to the orientation of the joints of the body.

Also: Watching YouTube videos may someday let robots copy humans

That's a problem because larger and larger "deep" neural networks are hungry for more and more data, but there isn't always enough labeled data to feed the network.

So, the Sun Yat-Sen researchers set out to show a neural network can refine its understanding by continually comparing the guesses of multiple networks with one another, ultimately lessening the need for the "ground truth" afforded by a labeled data set.




https://www.zdnet.com/article/chinas-ai-scientists-teach-a-neural-net-to-train-itself/



Could this be the early stages of a hard takeoff?
1/23/2019, 6:10 pm Link to this post PM Doctor Forbin Blog
 


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