
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Collection in Experimental Fusion Reactors
This chapter explores the D3D experimental fusion reactor and its comprehensive data collection methods. It highlights the importance of real-time sensor readings, physicist adjustments, and researcher notes in advancing the understanding of plasma behavior.
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