Google's DeepMind AI is now able to control a nuclear fusion reactor

The Swiss Plasma Center at EPFL has used Google's DeepMind artificial intelligence to control its Variable Configuration Tokamak.

@AdamHuntTT
Published Fri, Feb 18 2022 4:41 AM CST   |   Updated Wed, Mar 16 2022 2:32 AM CDT

A study on the deep learning approach has been published in the journal Nature.

Google's DeepMind AI is now able to control a nuclear fusion reactor 01 | TweakTown.com

DeepMind Technologies, based in Britain, is a subsidiary of Alphabet Inc., which also owns Google. It has recently used its DeepMind artificial intelligence (AI) to control a tokamak, a magnetic confinement device used for nuclear fusion reactor experiments involving plasma. The plasmas in a tokamak are highly unstable, complicating their experiments and requiring careful control.

A tokamak control system has to coordinate all of its nineteen magnetic coils and adjust their voltage thousands of times per second to stop the plasma from touching the vessel's walls, which would result in heat loss and potential damage. DeepMind and the Swiss Plasma Center at EPFL collaborated to create the first deep reinforcement learning (RL) system to control these processes for the Variable Configuration Tokamak (TCV) in Lausanne, Switzerland.

"In the last two years DeepMind has demonstrated AI's potential to accelerate scientific progress and unlock entirely new avenues of research across biology, chemistry, mathematics and now physics," said Demis Hassabis, Founder & CEO of DeepMind.

DeepMind was initially trained on a virtual tokamak before it was allowed to take control of the TCV. The TCV can run for up to three seconds before it needs to stop and cool down for fifteen minutes. The DeepMind RL was able to steady and sculpt the plasma into different shapes in simulations, and the team validated these results on the real TCV.

You can read more from DeepMind's press release here, and read more from the study in Nature here.

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Adam grew up watching his dad play Turok 2 and Age of Empires on a PC in his computer room, and learned a love for video games through him. Adam was always working with computers, which helped build his natural affinity for working with them, leading to him building his own at 14, after taking apart and tinkering with other old computers and tech lying around. Adam has always been very interested in STEM subjects, and is always trying to learn more about the world and the way it works.

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