New technique cuts AI training time by more than 60 percent

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial intelligence (AI) applications. "Deep learning networks are at the heart of AI applications used in everything from self-driving cars to computer vision technologies," says Xipeng Shen, a professor of computer science at NC State and co-author of a paper on the work.
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