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December 8, 2015 12:00 pm
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/kmmccn7_k9A/deep-learning-identifies-wet-road-hazards-from-sound-input
Deep Learning Identifies Wet Road Hazards From Sound Input
An anonymous reader writes: Researches have used recurrent neural network architecture to develop an audio-interpretation system that can understand how wet a road is, using techniques more commonly employed in speech recognition and music analysis. Every year 384,032 persons are injured and 4,789 persons killed through wet roads, and it's a problem that also threatens to hamper the usefulness of self-driving cars, which are likely to either become dangerous or prohibitively cautious in the absence of good information about the safety of road surfaces.Read more of this story at Slashdot.
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/kmmccn7_k9A/deep-learning-identifies-wet-road-hazards-from-sound-input
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