AI for science: Progress, challenges, and perspectives (IMAGE)
Caption
- Artificial intelligence (AI) is shifting from task-specific tools to a foundation for scientific discovery.
- AI now builds closed-loop workflows linking literature, data, hypotheses, experiments, reports, and evolution.
- Major barriers remain in data quality, interpretability, physical consistency, and trusted human-AI research.
Credit
Xu Y., Shao Z., Liu X., et al., (2026). AI for science: Progress, challenges, and perspectives. The Innovation 7(11), 101530. https://doi.org/10.1016/j.xinn.2026.101530
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CC BY-NC-ND