Machine Learning in Plasma
Azarakhsh discusses the urgent need for clean energy and how machine learning can bridge the gap in our limited understanding of plasma physics. By leveraging extensive historical data from the D 3D reactor, machine learning models aim to identify patterns and predict instabilities, enhancing control over plasma environments. This innovative approach combines various data types, including sensor readings and physicists' observations, to improve experimental outcomes.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - 682
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