Is sustainable deep learning possible?

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Scientists are attempting to replicate the brain’s frugality to make deep learning less polluting.

In June, American company OpenAI unveiled the world's largest text generator. Called GPT-3, the new artificial intelligence model can, among other things, write creative fiction and translate legal jargon into plain English, two functions that have been achieved using deep learning.

Since the 1950s, the development of artificial intelligence has required more and more energy, which in turn has led to a steep rise in the pollution it creates. We have now reached a point where the scientific community in the field fears that if the issue is not resolved soon, the very future of deep learning will be at risk. So if it is to survive, machines, programs and all computer equipment involved in deep learning will have to use much less energy.

 

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