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Abstract: Artificial intelligence (AI) has been a driving force for innovation and social progress in various domains (Pan, 2017). However, most of its industrial applications have focused on the signal processing domain, which relies on data generated and collected by different sensors. Recently, some researchers have suggested combining digital AI (DIAI) and physical AI (PAI), which could lead to a significant advancement in the theoretical foundation of AI. In this paper, we explore the concept of PAI and propose two subdomains: integrated PAI (IPAI) and distributed PAI (DPAI). We also discuss the challenges and opportunities for the sustainable development and governance of PAI. Since PAI requires continuous processing of signals from distributed sources across the edge, fog, and Internet of Things (IoT), it can be seen as an extension of the distributed computing continuum system in the field of AI.

物理人工智能：下一代人工智能

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