Which machine learning project revolutionized astronomy by using neural networks to identify gravitational lenses in telescope images, discovering thousands of new cosmic phenomena?

The astronomy industry has embraced machine learning technologies to revolutionize how we observe and analyze celestial data. From automated star classification to exoplanet detection, AI algorithms are processing massive datasets that would be impossible for human researchers alone. This poll tests your knowledge about a groundbreaking machine learning application that changed how astronomers process telescope data.

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Space Lens Hunter (SLH) by Google DeepMind
ASTROML by Harvard-Smithsonian Center for Astrophysics
Space Warps by Zooniverse and MSSL
GalaxyNet by NASA's Jet Propulsion Laboratory