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Oct 20, 2023, 2:31 pm280 ptsTrending
Ars Technica
Enlarge (credit: IBM) As the utility of AI systems has grown dramatically, so has their energy demand. Training new systems is extremely energy intensive, as it generally requires massive data sets and lots of processor time. Executing a trained system tends to be much less involved—smartphones can easily…
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