
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Harnessing AI to Stabilize Plasma for Clean Energy
This chapter discusses how machine learning can enhance the understanding and stability of plasma physics, leveraging decades of experimental data. By identifying patterns within this data, the aim is to improve predictions and management of plasma instabilities, contributing to advancements in clean energy technologies.
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