India, July 1 -- Artificial Intelligence has been used to trace the shift in magnetically active patches on the Sun from 1916 to 2007 by scanning 100 years of hand-drawn Sun records from the Kodaikanal Solar Observatory (KoSO). This could give a much longer view of how solar activity changes over time.
For more than a hundred years, scientists have been trying to understand how the Sun's magnetic activity rises and falls in rhythmic cycles. These cycles affect sunspots, flares, and eruptions, which can disrupt satellites, navigation, and power on Earth. However, older observations are often incomplete and inconsistent, making long-term study difficult. That's why historical records are very valuable.
In a new study, researchers led by Dib...