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Machine learning facilitates “turbulence tracking” in fusion reactors

Posted in nuclear energy, robotics/AI

He and his co-authors took four well-established computer vision models, which are commonly used for applications like autonomous driving, and trained them to tackle this problem.

Simulating blobs

To train these models, they created a vast dataset of synthetic video clips that captured the blobs’ random and unpredictable nature.