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Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Navigating Plasma Control in Fusion Research

This chapter explores the challenges of measuring and maintaining plasma stability in fusion experiments, emphasizing the distinction between achieving stability and exceeding energy production. It delves into the complexities of data engineering and the collaborative efforts between physicists and data engineers in developing control systems using AI and deep reinforcement learning. Additionally, the chapter highlights the rigorous testing processes and the importance of managing time and risks in the tightly constrained environment of fusion reactor experiments.

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