Space may seem static, but the stars that illuminate the night sky experience huge explosions as a result of the nuclear reactions that occur in their core, causing glare on their surface. These explosions cause vibrations on the surface of the stars, which scientists examine to understand the activity under their surface. A new artificial intelligence algorithm helps scientists to study, understand and understand the vibrations of different stars, according to Dubai Future Observatory.
A team of scientists has trained artificial intelligence systems for deep learning to simulate the activity of known stars, according to research published on the site of Arkiv and Agiz in the journal BSP Special Physics on Machine Learning. The new algorithm uses this simulation to understand data coming from distant stars in the Milky Way galaxy.
There are several reasons for the difficulty of understanding these signals, including the large distance between the Earth and these stars outside our solar system, in addition to the presence of many materials that interfere with the signals of stars.
The planets passing near the star may affect its signals. But deep learning algorithms help scientists to study the behavior of stars, including understanding how the star's magnetic field affects its glow.