‘Early Bird’ makes training AI greener

A new system called Early Bird makes training deep neural networks, a form of artificial intelligence, more energy efficient, researchers report.

Deep neural networks (DNNs) are behind self-driving cars, intelligent assistants, facial recognition, and dozens more high-tech applications.

Early Bird could use 10.7 times less energy to train a DNN to the same level of accuracy or better than typical training.

“A major driving force in recent AI breakthroughs is the introduction of bigger, more expensive DNNs,” says Yingyan Lin, director of the Efficient and Intelligent Computing (EIC) Lab and an assistant professor of electrical and computer engineering in the

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