AI discovers over 27,000 overlooked asteroids in old telescope images
A new AI software has helped identify more than 27,000 asteroids in our solar system that had been overlooked in telescope images.
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A new AI software has helped identify more than 27,000 asteroids in our solar system that had been overlooked in telescope images.
A team of asteroid hunters that includes researchers at the University of Washington says it has identified 27,500 new, high-confidence asteroid discovery candidates — not by making fresh observations of the night sky, but by sifting through archives of astronomical data. The weeks-long database search was conducted by the Asteroid Institute, a program of the nonprofit B612 Foundation, in partnership with UW’s DiRAC Institute and Google Cloud. The two institutes developed a program called THOR,
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The new tool allows the detection of previously unknown asteroids without the actual use of telescopes or any space observation equipment.
Researchers have built an algorithm that can scan old astronomical images for unnoticed space rocks, helping to detect objects that could one day imperil Earth.