"What works for Go may not work for the challenging problems that DeepMind aspires to solve with AI, like cancer and clean energy. IBM learned this the hard way" Picks the only large scale symbolic AI project to illustrate the potential shortcomings of DRL... https://twitter.com/GaryMarcus/status/1161690752524550144 …pic.twitter.com/3lbLcRQ0kz
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Watson. The only commonality between Watson and AlphaGo is the AI moniker, so it feels like an odd comparison
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This is incorrect in several ways though. First, Watson seems to have been an everything and the kitchen sink approach. They used logistic regression, rule based, lexical databases, information retrieval, grammar based parsers, SVM based relation extractors etc.
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Dr Watson?
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