Data Challenges in AI
Azarakhsh discusses the critical role of data preparation and feature extraction in developing effective AI models for plasma physics. He emphasizes that understanding and preprocessing data often presents greater challenges than the design of neural networks themselves. The conversation highlights the importance of identifying relevant signals and historical data to improve predictive capabilities in complex systems.In this clip
From this podcast
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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