Just five years ago, artificial intelligence-enabled computers could barely recognize images fed to them, much less analyze them anything like people can. But suddenly, they’ve turned the tables.
“In 2011 their error rate was 26 percent,” says Jeff Dean, chief of the Google Brain project, which along with other tech giants has helped lead a recent revolution in image recognition as well as speech recognition and self-driving cars. Now, he says, computers’ ability to view and analyze images (pictured) exceeds what human eyes can do.
“If you ’ d have told me that would be a possible just a few years ago, I would ’ ve never believed you,” Dean said during an appearance at a research event in Heidelberg, Germany. But thanks to AI-enabled computer vision advances, computers “can now see … and that has opened our eyes (about) what is possible.”
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