Pro: it's good at pattern recognition Con: it's good at *pattern recognition *pic.twitter.com/HGBrL3dZEN
“Artificial intelligence can predict a person’s chances of dying within a year by looking at heart test results – even when they look normal to doctors. How it does so is a mystery.” 
https://www.newscientist.com/article/2222907-ai-can-predict-if-youll-die-soon-but-weve-no-idea-how-it-works/ …
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Neural nets are insanely good at spotting hidden patterns: "If an eye doctor looked at a retinal photo, the chance of getting gender correct would be 50-50. But deep learning training led to an AUC of 0.97."https://www.nature.com/articles/s41551-018-0195-0 …
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I guess it is easier to program AI when the end result is definite.
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A.I. is trained not programmed. Training data requires defined results. The training algorithms work without programmers knowing how data and results are connected. A trained A.I. can subsequently predict using subtle features in the data that humans don’t notice. I’m not alarmed
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Remind me to avoid the robot doctors. Rather not know thanks.
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Does it hire a hitman through the Darknet?
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It’s not a mystery With a big enough sample, any blimp of noise becomes significant correlation And there’s a lot of noise in a EKG
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@NewScientist should write a more qualified story/headline for credibility. Lots of claims made by eager scientists at conferences, but those expert audiences know how to qualify the claims. For this claim, they should interview independent researchers in that field.Thanks. Twitter will use this to make your timeline better. UndoUndo
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That’s the future. AI will become an oracle of sorts.. Humans can understand code, but not how the output is derived. At least without some serious investigation
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Uh-oh. Remember the idea of the singularity. The point AI becomes smarter than us. Maybe there are multiple singularities, and there is still a places for humans... providing the data we can't interpret adequately, like mice, in our comfortable maze. Time for a drink.
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