AI Image Recognition Uncovers Cosmic Bubble Structures

Researchers at Osaka Metropolitan University have developed a deep learning model that efficiently identifies previously uncataloged bubble-like structures in the Milky Way galaxy. Using data from the Spitzer and James Webb Space Telescopes, the AI model accurately detects 'Spitzer bubbles,' formed by high-mass star formation and crucial to understanding star formation and galaxy evolution. The model also identifies shell-like structures from supernova explosions, opening avenues for deeper investigations into stellar formation and the effects of explosive events within galaxies.