EarlyDetect AI model forecasts solar eruptions nine hours ahead

Study published Aug. 14 in JGR: Machine Learning and Computation; NJIT-led team with Princeton and NASA Ames collaborators trained EarlyDetect on Solar Dynamics Observatory data, detecting precursor signals in acoustic activity and magnetic fields before active regions emerge. Corresponding author: NJIT undergrad Jonas Tirona.

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