Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence
Yingbo Li, Yucong Duan, Anamaria-Beatrice Spulber, Haoyang Che,, Zakaria Maamar, Zhao Li, Chen Yang, Yu lei

TL;DR
This paper explores the emerging concept of Physical Artificial Intelligence, proposing two subdomains and discussing its theoretical development, trends, and governance in contrast to traditional data-driven AI.
Contribution
It introduces the concept of Physical Artificial Intelligence and defines two subdomains, expanding AI beyond signal processing to physical interactions.
Findings
Proposes two subdomains: Integrated and Distributed Physical Artificial Intelligence.
Highlights the importance of physical interactions in AI development.
Discusses trends and governance of Physical Artificial Intelligence.
Abstract
Artificial Intelligence has been a growth catalyst to our society and is cosidered across all idustries as a fundamental technology. However, its development has been limited to the signal processing domain that relies on the generated and collected data from other sensors. In recent research, concepts of Digital Artificial Intelligence and Physicial Artifical Intelligence have emerged and this can be considered a big step in the theoretical development of Artifical Intelligence. In this paper we explore the concept of Physicial Artifical Intelligence and propose two subdomains: Integrated Physicial Artifical Intelligence and Distributed Physicial Artifical Intelligence. The paper will also examine the trend and governance of Physicial Artifical Intelligence.
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Taxonomy
TopicsAnomaly Detection Techniques and Applications · COVID-19 diagnosis using AI · ECG Monitoring and Analysis
