Description: Intelligent Digital Twins are virtual replicas of physical systems enhanced with Machine Learning (ML) and Deep Learning (DL) to enable real-time monitoring, prediction, and optimization. ML models analyze data from sensors to detect anomalies, predict failures, and improve operational efficiency. Deep learning enhances accuracy by recognizing complex patterns in images, signals, and system behavior. These intelligent twins continuously learn from real-world changes, providing insights for smarter decision-making. Widely used in manufacturing, healthcare, transportation, and smart cities, digital twins improve performance, reduce downtime, and support data-driven planning. ML and DL make digital twins adaptive, intelligent, and highly effective for modern engineering.