why do you think that is?
Most worrying thing about AI these days is the short shelf life of most research trends. A few months to a year at this point. Flailing.
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the field lacks mathematical grounding. There is no theory of deep learning, blurring the line between research & tinkering.
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My concern is that old trends have not been properly explored before being discarded. Theory takes longer than experiments.
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the ideas that made the advances of AI survived for decades, SVMs and ConvNet are the perfect examples.
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@github thanks for the link! This looks awesome, although I would say that this is more empirical than theoretical :-)Thanks. Twitter will use this to make your timeline better. UndoUndo
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