NJIT-led team builds AI system that spots solar storm signs hours earlier

EarlyDetect, trained on unfiltered data, detected precursor patterns an average of 9.24 hours before active regions became visible on the Sun's surface.

A research team led by the New Jersey Institute of Technology (NJIT) developed an AI system called EarlyDetect that detects solar storm warning signs nearly nine hours before the activity becomes visible on the Sun's surface.[^1]

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