Scientists and engineers race to reduce AI's growing energy consumption

Summary

This article explores the massive and growing energy consumption of AI systems, particularly data centers powering large language models like Google's Gemini. It examines the environmental impact of AI's computational demands and covers emerging solutions including more efficient algorithms, specialized hardware, new computing methods, and strategic placement of data centers to leverage green energy sources. The piece highlights the tension between AI's rapid advancement and sustainability goals.