Today more people are working on deep learning than ever before -- around two orders of magnitude more than in 2014. And the rate of progress as I see it is the slowest in 5 years. Time for something new
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What measure for the rate of progress are you referring to?
The amount of novel knowledge being generated and its significance, i.e. scientific progress. The application of existing techniques to old problems is still expanding, though.
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How do you assess novel knowledge?
Thanks. Twitter will use this to make your timeline better. UndoUndo
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