AI identifies new bubble-like structures in Milky Way

Japanese researchers at Osaka Metropolitan University have developed a deep learning model to analyze data from space telescopes. This AI model has identified new bubble-like structures in the Milky Way, previously unrecorded in astronomical databases. These structures, known as Spitzer bubbles, are formed during the birth of high-mass stars and provide insights into star formation and galaxy evolution. The team also detected shell-like formations likely created by supernova explosions. The findings were published in the Publications of the Astronomical Society of Japan. The research highlights the potential of AI to enhance our understanding of cosmic phenomena.