Study: AI energy efficiency improves when systems delete stored data

Researchers at Innsbruck calculated that AI systems consume less energy when they delete collected information, even if that data would improve prediction accuracy. The finding challenges the prevailing assumption that more data always enhances AI performance, suggesting a trade-off between accuracy and energy consumption. This could influence future AI design and energy policy, though the study's practical implications remain uncertain.