Journal of Tropical Oceanography

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Thoughts on the Current Situation and Development Strategy of Artificial Intelligence Empowering Marine Science and Technology

TAO Cheng1, WU Yuantao2, ZHOU Hong1, YIN Jianping3*, XIONG Ping1*   

  1. 1. National Science Library (Wuhan), Chinese Academy of Sciences, Wuhan 430071, China

    2. Bureau of Strategic High-tech Development, Chinese Academy of Sciences, Beijing 100864, China

    3. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China



  • Received:2026-01-19 Revised:2026-04-13 Accepted:2026-04-16
  • Supported by:

    Project of the National Natural Science Foundation of China (42442108);Strategic Priority Research Program of the Chinese Academy of Sciences (A) (XDA0370602)

Abstract: The rapid advancement of artificial intelligence (AI) technology has brought transformative changes to marine science and technology. With its strong capabilities in data processing, pattern recognition, and predictive analytics, AI is fundamentally reshaping the methodologies and application frameworks in this domain. This paper presents a systematic review and analysis of AI applications in marine science, drawing on strategic initiatives from major maritime nations, reports issued by prominent international marine scientific organizations, and peer-reviewed scholarly publications. It provides a comprehensive summary of the strategic positioning, developmental trajectory, current trends, and key application areas of AI in oceanic research—termed AI@Ocean—and derives actionable insights for future advancements. From a national strategic perspective, leading maritime countries are increasing investments and strengthening research agendas in AI@Ocean. Technologically, hybrid approaches that integrate physics-based modeling with data-driven AI techniques, as well as ocean digital twins and large-scale ocean models, are emerging as pivotal drivers of innovation. In practical applications, AI is playing an increasingly critical role in marine infrastructure, intelligent maritime operations, climate change assessment, disaster early warning systems, and ecosystem conservation. The integration of AI with underwater robotic systems has significantly enhanced the scope and efficiency of deep-sea exploration.While our country has achieved a leading global position in academic output and influence in this field, realizing the strategic goal of becoming a maritime power necessitates strengthening the observation and integration of multi-source, heterogeneous marine data to establish a robust foundation for high-quality marine big data; advancing the development of physically interpretable, large-scale ocean models to improve the accuracy and efficiency of marine predictions; and accelerating the deployment and innovation of AI technologies in Precise guarantee of deep-sea environment, deep-sea submersibles, deep drilling, undersea space stations, and integrated space-air-sea-subsurface ocean observation networks.

Key words: artificial intelligence, marine science and technology, strategic planning, quantitative analysis