Explore the theoretical concepts underlying the application of artificial intelligence $($AI$)$ and machine learning $($ML$)$ algorithms in civil infrastructure asset management and maintenance optimization. How do AI$-$driven predictive analytics, anomaly detection, and condition assessment techniques enable proactive maintenance strategies, extending asset lifespan, minimizing lifecycle costs, and enhancing infrastructure resilience?