AI-generated images threaten science - here's how researchers hope to spot them

被引:4
作者
Kwon, Diana
机构
关键词
Publishing; Research data; Machine learning;
D O I
10.1038/d41586-024-03542-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Generative-AI technologies can create convincing scientific data with ease — publishers and integrity specialists fear a torrent of faked science.
引用
收藏
页码:268 / 269
页数:2
相关论文
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[1]   This Microtubule Does Not Exist: Super-Resolution Microscopy Image Generation by a Diffusion Model [J].
Saguy, Alon ;
Nahimov, Tav ;
Lehrman, Maia ;
Gomez-de-Mariscal, Estibaliz ;
Hidalgo-Cenalmor, Ivan ;
Alalouf, Onit ;
Balakrishnan, Ashwin ;
Heilemann, Mike ;
Henriques, Ricardo ;
Shechtman, Yoav .
SMALL METHODS, 2025, 9 (03)