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AI enables semantic search for over 100M galaxy images

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new AI-powered system called AION-Search to enable semantic searching of over 100 million galaxy images. The system uses Vision-Language Models to generate descriptive captions for unlabeled astronomical images. These captions are then used to train a foundation model, allowing for efficient and accurate searches of rare celestial phenomena, including the identification of 36 new extragalactic stellar stream candidates. AI

IMPACT Enables semantic search for large, unlabeled scientific image archives, expanding data exploration capabilities in fields like astronomy.

RANK_REASON The cluster contains an academic paper detailing a new AI-based method for semantic search in a scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI enables semantic search for over 100M galaxy images

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The cluster contains an academic paper detailing a new AI-based method for semantic search in a scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nolan Koblischke, Liam Parker, Francois Lanusse, Jo Bovy, Irina Espejo, Shirley Ho ·

    Semantic search for 100M+ galaxy images using AI-generated captions

    arXiv:2512.11982v2 Announce Type: replace-cross Abstract: Finding scientifically interesting phenomena through slow manual labeling campaigns severely limits our ability to explore the billions of galaxy images produced by telescopes. In this work, we develop a pipeline to create…

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