Representational image of nuclear fusion reactor. Peter Hansen/iStock
Japan's Nippon Telegraph and Telephone Corporation (NTT) is applying its Deep Anomaly Surveillance (DeAnoS) artificial intelligence tool, originally designed for telecom networks, to predict anomalies in nuclear fusion reactors.
DeAnoS is like a detective, trying to understand which part of the equation is making things weird.
Atomic fusion reactors are at the forefront of scientific innovation, harnessing the enormous energy released by atomic nuclei fusion. This process, which is similar to the Sun's power source, involves the union of two light atomic nuclei, which results in the development of a heavier nucleus and the release of a massive quantity of energy.
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Fusion reactors, mimicking the Sun's processes, have the potential to generate large amounts of clean energy without the risks associated with nuclear fission.
"In response to environmental issues such as climate change, efforts to achieve carbon neutrality are increasing, and the creation of new energy sources is becoming increasingly important," NTT said in a statement.
NTT has been working on this project together with the ITER Organization since May 2020 to make energy technology environment-friendly. They teamed up to do experiments called "Experiments on Anomaly Prediction in Experimental Fusion Reactor Equipment."
DeAnoS predicts issues early
NTT brings its super-smart AI technology, DeAnoS, and ITER has an advanced nuclear fusion facility. DeAnoS catches issues early on in experimental fusion reactor equipment, while ITER provides data, a place to check everything, and gives feedback on the results.
