Episode #122 - What's the Weather in Space? w/ Jose Arnal
Math & Physics Podcast
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Integrating Data Assimilation and Machine Learning
This chapter explores the intersection of data assimilation techniques and machine learning, particularly neural networks, in optimizing parameters and fitting data. It highlights the advantages of integrating physics with machine learning, contrasting traditional methods and advancing the role of AI in scientific research. The conversation also addresses the challenges of model training and the promising potential for predicting terrestrial weather using data-driven approaches.
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