Artificial intelligence pioneer says throw it all away and start again

Geoffrey Hinton harbors doubts about AI’s current workhorse. (Johnny Guatto / University of Toronto)

In 1986, Geoffrey Hinton co-authored a paper that, three decades later, is central to the explosion of artificial intelligence.

But Hinton says his breakthrough method should be dispensed with, and a new path to AI found.

… he is now “deeply suspicious” of back-propagation, the workhorse method that underlies most of the advances we are seeing in the AI field today, including the capacity to sort through photos and talk to Siri.

“My view is throw it all away and start again”

Hinton said that, to push materially ahead, entirely new methods will probably have to be invented. “Max Planck said, ‘Science progresses one funeral at a time.’ The future depends on some graduate student who is deeply suspicious of everything I have said.”

Hinton suggested that, to get to where neural networks are able to become intelligent on their own, what is known as “unsupervised learning,” “I suspect that means getting rid of back-propagation.”

“I don’t think it’s how the brain works,” he said. “We clearly don’t need all the labeled data.”

Source: Axios

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Quote

Geoff Hinton on “AI as a friend”

AI Quotes

GEOFF HINTON – GOOGLE – UNIVERSITY OF TORONTO
geoff hinton

Geoff Hinton – Google, Distinguished Researcher, University of Toronto as a Distinguished Emeritus Professor

He [Geoff Hinton] painted a picture of the near-future in which people will chat with their computers, not only to extract information, but for fun – reminiscent of the film, Her, in which Joaquin Phoenix falls in love with his intelligent operating system.

“It’s not that far-fetched,” Hinton said. “I don’t see why it shouldn’t be like a friend. I don’t see why you shouldn’t grow quite attached to them.

Source: The Guardian – Thursday 21 May 2015

 

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