The Digital Press

A new survey paper comprehensively reviews the use of artificial intelligence, especially large language models, in advancing scientific research across disciplines. It introduces a taxonomy of AI4Research tasks, identifies research gaps, and compiles resources to accelerate innovation.

Why it matters: AI is increasingly capable of autonomously performing complex research tasks, potentially transforming scientific discovery processes.

The big picture: The survey provides a unified framework and highlights future directions for improving experiment rigor, scalability, and societal impact in AI-driven research.

Abundant resources: The paper offers extensive multidisciplinary applications, datasets, and tools to support researchers in AI4Research development.

Commenters say: Readers appreciate the comprehensive overview but express disappointment that no ready-to-use AI research tool is released, emphasizing the need for better scientific search and synthesis workflows.