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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2023 Vol.24 No.8 P.1231-1238
Physical artificial intelligence (PAI): the next-generation artificial intelligence
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.
Key words:
1海南大学计算机科学与技术学院，中国海口市，570228
2之江实验室，中国杭州市，311121
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。
References:
Open peer comments: Debate/Discuss/Question/Opinion
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DOI:
10.1631/FITEE.2200675
CLC number:
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On-line Access:
2023-08-29
Received:
2022-12-31
Revision Accepted:
2023-04-18
Crosschecked:
2023-08-29