This episode features Lorenzo Zanisi, a data scientist working at the United Kingdom Atomic Energy Authority (UKAEA) to apply machine learning models to accelerate fusion computations. Our conversation covers some brief introduction to the concepts of machine learning (ML), its distinction from artificial intelligence (AI) and traditional statistical modelling, and finally some examples of how it is being / could be applied to accelerate fusion science. With the emergence of more and more powerful ML models, we both envision this topic becoming more and more prevalent in the coming decade
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