AI is having its Nobel moment. Do scientists need the tech industry to sustain it?

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One reason why the current wave of AI research is so closely tied to the tech industry is that only a handful of corporations have the resources to build the most powerful AI systems.

Hours after the artificial intelligence pioneer Geoffrey Hinton won a Nobel Prize in physics, he drove a rented car to Google's California headquarters to celebrate.

Asked about the historic back-to-back science awards for AI work in an email Wednesday, Hinton said only: “Neural networks are the future.” “These discoveries and this capability could not happen without humongous computational power and humongous amounts of digital data,” Wing said. “There are very few companies — tech companies — that have that kind of computational power. Google is one. Microsoft is another.”

Hinton joined Google late in his career and quit last year so he could talk more freely about his concerns about AI’s dangers, particularly what happens if humans lose control of machines that become smarter than us. But he stops short of criticizing his former employer. But Zemel said what’s more important to Hinton and his closest colleagues has been what the Nobel recognition means to the fundamental research they spent decades trying to advance.

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