Second part is objectively not true. Here there is a couple of examples of well know DL researchers working on a classic cognitive science problem (systematic generalizaron): https://arxiv.org/abs/1811.12889 https://arxiv.org/pdf/1910.00571.pdf …
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It's not "objectively" not true. He used the word "almost".
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The bit you're missing is that intelligence, artificial or otherwise, *is* statistical modeling.
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Deep Learning is a proper subset of machine learning which in turn is a proper subset of artificial intelligence, therefore it is definitely a proper subset of AI, living at the first rung of the ladder of csusation
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This is a very narrow definition of AI. Deep learning builds on the tradtion of connectionism which is as old, or older, than symbolic AI and has always had the ambition of building brain-like cognitive architectures. As Geoffrey Hinton recently said humans “are neural nets”
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The brain as computer leading toward simulation and upload is still a narrow view of how things work, and only tries to replicate, not solve.
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They are simmilar but at a different degree of complexity :)
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From which university u got your bachelor in
#KnowledgeMnagaement Is there alink to the program page?#KMedu - 2 more replies
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