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Global technology solutions provider NTT Corporation (Japan) and the ITER Organization are planning joint experiments on predicting anomalies in ITER plant facilities. The early detection of anomalies and failures can reduce equipment downtime and increase the efficiency of the ITER Tokamak's operational phases.

NTT's artificial-intelligence (AI) powered anomaly prediction technology "DeAnoS" (for Deep Anomaly Surveillance) will be used to understand the normal status of selected ITER plant equipment, to detect faults, and to predict anomalies. The ITER Organization has already provided some operational data from the cooling water system to set up this ambitious collaboration, and will scale up with data from other equipment in the years ahead.

These experiments result from a Cooperation Agreement signed with NTT in 2020.

See the press release issued by NTT here.