Improving the speed and energy-efficiency of AI agents

Researchers from MIT and Microsoft built a system that automatically optimizes agentic AI workflows. The system selects models, tools, and hardware configurations based on user priorities like cost or speed. Tests showed it reduced computational units, energy, and costs without harming performance.