Wednesday, May 23, 2018

Where Artificial Intelligence Went Wrong, And How To Teach Machines To *Really* Think

"We read about computers that can master ancient games and drive cars. [Turing Award-winning researcher Judea] Pearl is underwhelmed. As he sees it, the state of the art in artificial intelligence today is merely a souped-up version of what machines could already do a generation ago: find hidden regularities in a large set of data. ... The key, he argues, is to replace reasoning by association with causal reasoning" - that is, teach machines to process cause and effect.



Article source here:Arts Journal

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