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Making Deep Learning More Energy Efficient
"solitude"
IBM is proposing a way to make deep learning less of an energy drain by reducing the bits from 16 to 4, reports MIT Technology Review.
Deep learning is an inefficient energy hog. It requires massive amounts of data and abundant computational resources, which explodes its electricity consumption.
