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This invention describes a system that uses a device to apply energy to an object, like tapping it, and then measures the object's response. A computer system then uses machine learning to analyze these measurements to understand the object's structural properties, potentially identifying defects or issues. The system specifically focuses on using simulated data to train and improve its machine learning models.
Why it matters: Since 2019, advancements in machine learning, particularly in physics-informed models and synthetic data generation, have made it easier to build and train systems that integrate physical simulations. Cloud computing resources for such complex model training have also become more accessible.
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