File:Integrated physical artificial intelligence.png

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From the preprint study "Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence"

Summary

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Description
English: "PAI has the potential to use deep learning to mimick not only the individual human but also the human society as a whole. Robots are a typical example of Integrated PAI (IPAI) that mimick the individual humans, and integrates the perception of the physical world through multiple sensors that collect signals and data, the induction from multiple indices, and the physical response in the physical world as shown in Fig. 4, that illustrates the most important modules in IPAI. A

robot’s perception, computing, and mechanical modules are confined into a limited space, while similar to the human society Distributed PAI (DPAI) distributes the perception, the computing and the response modules across a wide space, such as a factory or a city, as shown in Fig. 5. Industrial IoT system is a good illustration of DPAI [22].

PAI needs to fuse multiple streams of information including materials, temperature, vision, sound,etc. from multiple sensors as per Fig. 3. Therefore, multimodal processing is mandatory to understand the information in PAI."
Date
Source https://arxiv.org/abs/2105.06564
Author Authors of the preprint study: Yingbo Li, Yucong Duan, Anamaria-Beatrice Spulber, Haoyang Che, Zakaria Maamar, Zhao Li, Chen Yang, Yu lei

Licensing

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current20:38, 9 June 2024Thumbnail for version as of 20:38, 9 June 20241,302 × 705 (53 KB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the preprint study: Yingbo Li, Yucong Duan, Anamaria-Beatrice Spulber, Haoyang Che, Zakaria Maamar, Zhao Li, Chen Yang, Yu lei from https://arxiv.org/abs/2105.06564 with UploadWizard

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