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Demis Hassabis, CEO of DeepMind Technologies, the AI division behind Gemini, poses for a photo at the Google DeepMind offices in London, Wednesday, Oct. 9, 2024 after being awarded with the Nobel Prize in Chemistry. It didn't always seem that way for researchers who decades ago experimented with interconnected computer nodes inspired by neurons in the human brain. Hinton shares this year's physics Nobel with another scientist, John Hopfield, for helping develop those building blocks of machine learning.
“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.