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Could you elaborate why you find it so bizarre so the gp and other readers can find value in this thread? Or is this rhetorical?
by indalo 8y ago
Could you elaborate why you find it so bizarre so the gp and other readers can find value in this thread? Or is this rhetorical?
- mindcrime 8y agoI find it bizarre because deep learning is only one (arguably fairly small) subset of the entire field of AI. AI is a HUGE field, spanning an incredible myriad of techniques and approaches. Deep Learning may be the one receiving the most "hype" at the moment, but there is - so far as I can tell - no sense in which anyone connected to AI considers "AI" and "deep learning" synonymous.
- m0zg 8y agoWhich "other", non DL areas of AI are in use at the moment? Which haven't yet been completely blown out of the water by DL counterparts? NLU, translation, sentiment analysis, image classification/segmentation, object detection, instance segmentation, speech recognition, speech synthesis, sentence generation, NER, the list goes on and on. In all of these ANNs completely destroy previous approaches, it's not even close.
- mindcrime 8y agoI am not saying that DL isn't very successful and very popular. I'm just saying that it isn't, all by itself, the entirety of the field of AI. I'm not arguing anything about popularity and I definitely don't have usage stats, since approximately nobody is going to publish exactly what stack they're using if they get a competitive advantage from it. But from a research perspective, it's not hard to find papers on arXiv showing people continuing to research other aspects of AI. It's also not hard to find papers from people suggesting that the DL train may be running out of steam in the near future. See, for example, https://www.technologyreview.com/s/612768/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed-next/ https://www.technologyreview.com/s/612768/we-analyzed-16625-...