人工智能驱动科研范式变革的机制与路径研究——以生物学为例

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Abstract Scientific research paradigm is the basic theory and method of scientific and technological innovation.Under the background of data explosion,the original scientific research paradigm is difficult to adapt to the solution of complex scientific problems.With the development of artificial intelligence technology in algorithm and computing power infrastructure,artificial intelligence technology represented by deep learning has brought new methods and tools for basic scientific research.Artificial intelligence technology mainly drives the change of scientific research paradigm by reshaping the mode of knowledge production,reengineering the scientific research workflow,and accelerating the cross-integration innovation.Taking the field of biology as an example,artificial intelligence technology has been widely used in drug discovery,protein structure prediction,and the prediction,evolution and control of infectious diseases.With the assistance of data-driven artificial intelligence methods,the solution of scientific problems has changed from the traditional bottom-up route to the data-driven top-down thinking.Through dimensionality reduction and approximate solution,the influencing factors directly related to practical problems are found,thus forming a new paradigm for solving scientific problems.

Key words： Artificial intelligence Research paradigm Drug discovery Protein structure prediction Infectious disease control

Received: 25 July 2023

PACS:

G312

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	Li Yaling
	Bao Qianying
	Huang Chengfeng

Cite this article:

Li Yaling,Bao Qianying,Huang Chengfeng. Research on the Mechanism and Path of Scientific Research Paradigm Transformation Driven by Artificial Intelligence ——Taking Biology as an Example[J]. , 2024, 5(4): 12-21.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2024/V5/I4/12

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