Fusion energy researcher: Artificial intelligence is inevitably helpful in pursuing the continuous production of fusion energy.
Artificial intelligence development company DeepMind has produced a learning artificial intelligence that guided the fusion experiment in a new way.
In an experimental reactor in Switzerland, artificial intelligence is experimenting with how to better control a plasma that produces fusion energy.
Using artificial intelligence, the movements of magnets and plasma were controlled in two-second intervals. Artificial intelligence replaced complex systems with a simpler program.
DeepMind’s blog says that in computer modeling, very hot plasma was kept stable. It could be tried in different forms.
Artificial intelligence was then used to perform experiments in a real experimental reactor at the EPFL University of Technology in Lausanne.
For example, for the first time, artificial intelligence produced plasma in a test reactor that was divided into two parts, says the website Science Alert. Plasma was also produced for the first time, for example, in shapes resembling a snowflake.
Deepmind has not yet given a name to this artificial intelligence that has been tested virtually in a Swiss reactor more than a hundred times.
In experiments hydrogen plasma with a temperature of more than one hundred million degrees Celsius is kept under control.
The plasma floats in a donut-shaped magnetic field in a reactor called a tokamak.
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“If you experiment with variables with a handheld game, it takes a tremendous amount of time.”
“Artificial intelligence experimented with magnets in a whole new way,” he said CNBC news channel Federico Felici. He is studying the fusion at the Swiss Plasma Center.
“Artificial intelligence is now inevitably involved in fusion research,” Felici ponders the future of the industry.
There are a lot of variables in the experiments. One small change in the initial conditions can greatly affect the outcome of the experiment. This is where artificial intelligence helps.
“If you experiment with variables with a‘ hand game ’, it takes a tremendous amount of time,” says the physicist to Science Alert Cianluca Sarri Queen’s University of Belfast, Northern Ireland.
Magnetic fields keep the plasma produced by the reactor in check and safe.
If the plasma touches the walls of the reactor, it cools down quickly. At the same time, the experiment is suppressed and the reaction stops.
This is still only a matter of seconds. Last December, hot plasma produced fusion energy in the reactor about five seconds. The experiment was conducted in Oxfordshire, UK. There is no better way.
In a tokamak, the hot plasma rotates in a ring as it is guided by magnets. In December, a record plasma management record was reached in Oxfordshire, UK. The joint European test plant Jet produced 59 megajoules of energy. The reaction was controlled for five seconds.
Artificial intelligence can therefore help towards unlimited energy production.
A fusion reactor would continuously produce energy that would correspond to a small amount of energy production from a star, such as the Sun.
The fusion feedstock of hydrogen would be obtained endlessly from nature, such as seawater.
Fusion research has progressed rather slowly for decades. According to a past joke, the promises of nuclear fusion are always either 30 years or 50 years away.
New the test terrain for artificial intelligence may open up experimental reactor at ITER.
ITER is a large experimental reactor in the form of a tokamak. It will be completed in 2025 in southern France in Cadarache, near Marseille.
Iterian tokamak will be the largest in the world. It controls more than ten times as much plasma as the Jet reactor in Oxfordshire, Britain.
The fusion has also been produced and tested using lasers. Last August, an experiment was reported in California in which 192 strong lasers were aimed at a small hydrogen pellet.
The isotopes in the pellet briefly produced a fusion and 1.35 million joules of energy.
About artificial intelligence in fusion research told the scientific journal Nature.
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