Dhaka, Sept. 7 -- Researchers at the US Department of Energy's Princeton Plasma Physics Laboratory (PPPL) and Princeton University have developed an artificial intelligence-based software framework capable of making rapid decisions to control fusion plasma at speeds beyond human response.

The framework, called PACMAN, or Prediction And Control using MAchiNe learning, was successfully tested in five experiments on the DIII-D National Fusion Facility tokamak in San Diego, according to researchers.

Their findings were published in the journal Nuclear Fusion.

Fusion research seeks to replicate the process that powers the sun to produce a potentially abundant source of electricity. Tokamaks use powerful magnetic fields to confine extremely ...