Tag: machine learning in astronomy

Researchers have developed leakage-aware U-Net models that automatically segment solar filaments in ground-based hydrogen-alpha images, offering a scalable path toward ...

An international team of scientists has turned machine learning loose on one of astronomy’s most elusive targets: rare quasars that ...

Trieste, 6 May 2026 — In the quest to decipher the grand narrative of our Universe’s expansion, Type Ia supernovae ...

In the vast expanse of the night sky, fleeting celestial phenomena—known as optical transients—flash into existence, captivating astronomers with their ...

The universe, a tapestry woven across billions of years, holds secrets to its origins and evolution that have captivated humanity ...

In a groundbreaking leap for astrophysics, a team of ingenious researchers is harnessing the power of artificial intelligence, specifically physics-informed ...

In the relentless quest to unravel the mysteries of our universe, astronomers have long grappled with an overwhelming deluge of ...

In an ambitious new study probing the very fabric of our cosmos, recent advancements in optical astrometry have empowered astronomers ...

A groundbreaking discovery has emerged from the depths of our universe, one that has reignited cosmic curiosity and energized the ...