摘要
人工智能(AI)已经成为各领域创新和社会进步的驱动力。然而, 其大多数工业应用集中在信号处理领域, 这依赖于不同传感器产生和收集的数据。最近, 一些研究人员提出将数字人工智能和物理人工智能结合, 这可能带来人工智能理论基础的重大进步。在本文中, 我们探讨了物理人工智能的概念并提出两个子领域: 集成式物理人工智能和分布式物理人工智能。我们还讨论了物理人工智能可持续发展和治理所面临的挑战和机遇。由于物理人工智能需要连续处理来自边缘、雾和物联网的分布式信号, 它可以被看作分布式计算连续系统在人工智能领域的延伸。
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Yingbo LI and Yucong DUAN designed the research. Anamaria-Beatrice SPULBER drew the figures. Yingbo LI and Zhao LI drafted the paper. Yingbo LI revised and finalized the paper.
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Yingbo LI, Zhao LI, Yucong DUAN, and Anamaria-Beatrice SPULBER declare that they have no conflict of interest.
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Project supported by the Hainan Provincial Key R&D Program of China (Nos. ZDYF2022GXJS007 and ZDYF2022GXJS010), the Hainan Provincial Natural Science Foundation of China (No. 620RC561), the Hainan Provincial Higher Education and Teaching Reform Research Project of China (No. Hnjg2021ZD-3), and the Open Fund Project of the Hainan Provincial Key Laboratory of Meteorological Disaster Prevention and Mitigation in the South China Sea, China (No. SCSF202210)
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Li, Y., Li, Z., Duan, Y. et al. Physical artificial intelligence (PAI): the next-generation artificial intelligence. Front Inform Technol Electron Eng 24, 1231–1238 (2023). https://doi.org/10.1631/FITEE.2200675
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DOI: https://doi.org/10.1631/FITEE.2200675