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New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models.

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Title: New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models.
Authors: Miao, Zhongqi1 (AUTHOR) zhongqimiao@microsoft.com, Zhang, Yuanhan2 (AUTHOR), Fabian, Zalan1,3 (AUTHOR), Hernandez Celis, Andres1,4 (AUTHOR), Beery, Sara5 (AUTHOR), Li, Chunyuan6 (AUTHOR), Liu, Ziwei2 (AUTHOR), Gupta, Amrita1 (AUTHOR), Nasir, Md1 (AUTHOR), Li, Wanhua7 (AUTHOR), Holmberg, Jason8 (AUTHOR), Palmer, Meredith9 (AUTHOR), Gaynor, Kaitlyn10 (AUTHOR), Arbelaez, Pablo4 (AUTHOR), Wang, Pengce1 (AUTHOR), Dodhia, Rahul1 (AUTHOR), Ferres, Juan Lavista1 (AUTHOR)
Source: Methods in Ecology & Evolution. Feb2026, Vol. 17 Issue 2, p238-256. 19p.
Database: Environment Complete
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  Data: New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models.
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  Data: <searchLink fieldCode="JN" term="%22Methods+in+Ecology+%26+Evolution%22">Methods in Ecology & Evolution</searchLink>. Feb2026, Vol. 17 Issue 2, p238-256. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=191353397
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