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The missing data for intelligent scientific instruments

delete2025-12-31
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PRE
AI
H
Henry Pinkard *
N
Nils Norlin *
DOI：10.1038/s41592-025-02995-7delete
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摘要

摘要

En 中文
目前大多数科学仪器会丢弃丰富的命令流、数据流和元数据，而AI系统本可从中学习，以专家级决策制定和故障排除能力开展实验。大规模记录和使用这些数据需要重新思考应存储哪些数据、激励大规模合作，以及确定如何量化此类自主系统的可靠性。
Keyword:
AI systems
scientific instruments
data recording
autonomous decision-making
reliability quantification

期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.2K
被引数:
12.7W

机构

U
university of california
学者数:
1.9W
论文数: 8.0K
被引数: 10
L
Lund University
学者数:
2.8K
论文数: 1.2K
被引数: 5.1W
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