Simulation in Science
Kim highlights the importance of simulation in understanding complex physical systems, where well-defined equations guide predictions. In contrast, modeling human intelligence poses unique challenges due to the lack of clear mathematical frameworks. Both speakers discuss the shift from traditional equations to data-driven predictive models, drawing parallels between weather forecasting and biological systems.In this clip
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