According to Jeff Dean (@JeffDean), machine learning is being leveraged to predict virtual machine (VM) lifetimes in order to optimize their placement within cloud computing environments. This application, highlighted by Pratik Worah, Martin Maas, and coauthors, demonstrates a practical AI-driven approach to improving the efficiency and cost-effectiveness of large-scale data centers. By accurately forecasting VM usage patterns, cloud providers can reduce resource fragmentation, increase hardware utilization, and streamline operational workflows. This ML technique enables better allocation of computational resources, leading to lower operational costs and improved service quality for enterprise customers (source: x.com/GoogleResearch/status/1979260959286853693).