Create a hybrid digital twin with data and physics.
As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, their integration with simulation is amplifying the capabilities of digital twins. AI/ML, simulation, and reduced-order modeling (ROM) technologies combine to create hybrid digital twins—virtual replicas that blend data-driven insights with the accuracy of physics-based models. This powerful approach enables real-time monitoring, predictive maintenance, and performance optimization across diverse scenarios.
In this eBook, we’ll explore how hybrid analytics tools, powered by AI/ML and ROMs, are redefining digital twin technology—bridging the gap between design and operations for smarter, faster decision-making.
Read more here.
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