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The fifth era of science: Artificial scientific intelligence

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  • Nina Miolane

Abstract

The era of artificial scientific intelligence is here. As algorithms generate discoveries at scale, what role remains for human scientists?Can AI become a true scientist? This Perspective explores how new technologies are reshaping scientific discovery, and why human expertise remains essential as we enter a new era of research powered by intelligent algorithms.

Suggested Citation

  • Nina Miolane, 2025. "The fifth era of science: Artificial scientific intelligence," PLOS Biology, Public Library of Science, vol. 23(6), pages 1-4, June.
    • Handle: RePEc:plo:pbio00:3003230
    DOI: 10.1371/journal.pbio.3003230
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    References listed on IDEAS

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    1. Yu Wang & Chao Pang & Yuzhe Wang & Junru Jin & Jingjie Zhang & Xiangxiang Zeng & Ran Su & Quan Zou & Leyi Wei, 2023. "Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasks," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Claudio Zeni & Robert Pinsler & Daniel Zügner & Andrew Fowler & Matthew Horton & Xiang Fu & Zilong Wang & Aliaksandra Shysheya & Jonathan Crabbé & Shoko Ueda & Roberto Sordillo & Lixin Sun & Jake Smit, 2025. "A generative model for inorganic materials design," Nature, Nature, vol. 639(8055), pages 624-632, March.
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