June 14, 2016

"Unlike machine learning, deep learning can teach machines to ignore all but the important characteristics of a sound or image—a hierarchical view of the world that accounts for infinite variety."

Wall Street Journal: It’s deep learning that opened the door to driverless cars, speech-recognition engines and medical-analysis systems that are sometimes better than expert radiologists at identifying tumors. by Yann LeCun, Luke Nosek, Nick Bostrom, Andrew Ng, and Daniela Hernandez

'Despite these astonishing advances, we are a long way from machines that are as intelligent as humans—or even rats. So far, we’ve seen only 5% of what AI can do.

'You can't teach machines common sense... At least not yet. And it’s the biggest barrier to true artificial intelligence.

'Predictive learning, also called unsupervised learning, is the principal mode by which animals and humans come to understand the world. Take the sentence “John picks up his phone and leaves the room.” Experience tells you that the phone is probably a mobile model and that John made his exit through a door. A machine, lacking a good representation of the world and its constraints, could never have inferred that information. Predictive learning in machines—an essential but still undeveloped feature—will allow AI to learn without human supervision, as children do. But teaching common sense to software is more than just a technical question—it’s a fundamental scientific and mathematical challenge that could take decades to solve. And until then, our machines can never be truly intelligent.'

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