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AI Forecasts Solar Activity Nine Hours Early
A team from the New Jersey Institute of Technology developed an artificial intelligence model called EarlyDetect, capable of predicting the emergence of active regions on the Sun's surface about 9 hours on average in advance. The model relies on analyzing sound waves traveling through the Sun and detects early signals caused by rising magnetic fields, which precede the appearance of sunspots and powerful solar flares. After correcting the filtering technique that previously removed important signals, the model's accuracy was improved, enabling it to predict the appearance of active regions at an earlier stage. This enhancement strengthens its ability to forecast solar eruptions before they occur. The research aims to improve space weather predictions and reduce the damages caused by solar storms, while also providing a public data platform to support future developments in this field.
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