A University of Michigan computer science professor and his team are developing tools to measure and reduce the energy use of AI systems. Their research shows that most AI energy consumption comes from responding to user queries, and their software can cut training energy use by up to 50%. The work highlights both the growing impact of AI on energy demand and the need for more efficient, transparent systems.
