Energy Cost

Energy cost, encompassing computational energy consumption and associated carbon emissions, is a growing concern across various applications of artificial intelligence and machine learning. Current research focuses on optimizing energy efficiency in AIoT systems, large language model inference, and data center operations, employing techniques like memetic algorithms, deep reinforcement learning, and data reweighing to minimize energy use while maintaining performance. These efforts are crucial for mitigating the environmental impact of increasingly energy-intensive AI applications and improving the economic viability of deploying AI at scale, impacting both sustainability initiatives and industrial competitiveness.