The ability to generate synthetic data from simulation at unprecedented scales—moving from thousands to hundreds of thousands and millions of simulations—enables the training of models that are significantly more generalizable and applicable across diverse domains, representing a fundamental shift in how simulation-based models are developed and deployed.
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From 1,000s to Millions: The Simulation Leap 🚀Añadido:
I have to say I've been doing research in this topic for about 15 years and I've been surprised by the rate of progress that I've seen in the last two or three years. Mainly enabled by the ability to generate synthetic data from simulation at a far larger scale than anything we've done before. That feeds the modeling and the training of those models, right? Which initially have been trained with thousands of simulations, but now we're getting to this hundreds of thousands and millions of simulations leading to models that are far more generalizable and more applicable to to other areas than just what they were trained for.
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