AI controlling a Fusion reactor

For decades, nuclear fusion was treated as the Holy Grail of energy, a practically unlimited, clean and extremely powerful source, but there was always a problem, controlling it, because inside a fusion reactor, you are basically trying to keep something like the sun trapped in a magnetic field with absurd temperatures, constant instability and any error capable of interrupting everything in fractions of a second.

And that is precisely where a Chinese company decided to change the game, the Startorus Fusion is using artificial intelligence to control the plasma inside an experimental reactor called Spherical Tokamak (SUNIST)-2, instead of depending on fixed rules or manual adjustments, the system learns, analyzes the behavior of the plasma in real time, predicts stabilities and reacts before the problem occurs.

The most interesting thing is how they face one of the biggest challenges of fusion, and that is to keep the reaction active for a long time, instead of trying to sustain the plasma continuously, adopting an approach inspired by automotive engines, the plasma ignites, releases energy, stabilizes and restarts the cycle as if the reactor were breathing, behind all this there is a layer of intelligence that constantly learns from the data.

Using neural networks based on physical principles, the system manages to predict and reconstruct the behavior of the plasma, reducing errors, increasing efficiency and, above all, bringing fusion closer to commercial reality.

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