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  "documentTitle": "2022 Air Street Capital The State of AI Report 2022",
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      "text": "DeepMind trained a reinforcement learning system to adjust the magnetic coils of Lausanne's TCV (Variable Configuration tokamak).",
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      "text": "A popular route to achieving nuclear fusion requires confining extremely hot plasma for enough time using a tokamak.\nA major obstacle is that the plasma is unstable, loses heat and degrades materials when it touches the tokamak’s walls. Stabilizing it requires tuning the magnetic coils thousands of times per second.\nDeepMind’s deep RL system did just that: first in a simulated environment and then when deployed in the TCV in Lausanne. The system was also able to shape the plasma in new ways, including making it compatible with ITER’s design.",
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