Simulated Annealing is an optimization algorithm inspired by the annealing process in metallurgy. NEC Labs America applies simulated annealing to scheduling, network routing, and machine learning model training. This method efficiently finds near-optimal solutions in large, complex search spaces. By integrating simulated annealing with AI, NEC researchers improve decision-making in areas such as optical networking, infrastructure monitoring, and distributed computing systems.