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Artificial Intelligence

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When AIAA Meets IEEE

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Abstract

Artificial intelligence (AI) has become a popular term very recently. However, it is neither clearly classified nor well explained. Just from the surface meaning, AI refers to the simulation of human intelligence by machines that are programmed to think like humans and mimic their actions. Let us take the example of a monkey to see a banana on the roof beam, and there is a ladder sitting on the floor. A human being knows to move the ladder to the wall and climb to the roof to fetch the banana. Initially, the monkey may not know this, but when he sees the human doing this, he can imitate the human to do the same. Therefore, intelligence comes first from imitation. Simple imitation is the first and preliminary stage of AI. Currently, people use the term AI to cover many intelligent activities. The deeper AI actually involves comprehensive thinking and many other actions/options/outcomes. AI involves multi-dimensional sensing capabilities and much broader actions beyond humans, including smart brains and clouds, the Internet of Things, and robotics. Such a classification of AI helps us to find the relevant enabling technologies.

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Notes

  1. 1.

    Gold powder of 3 μm has 0.5 m2/g of SSA (the total area of a unit mass) comparing to the SSA of a golden cube of 3 × 10−7 m2/g SSA (6/19,320,000), density 19.320 g/cm³, the surface area of the cube is 6 cm2.

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Authors and Affiliations

  1. School of Electronics Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Franklin Li Duan

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  1. Franklin Li Duan
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Correspondence to Franklin Li Duan .

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Duan, F.L. (2023). Artificial Intelligence. In: When AIAA Meets IEEE. Springer, Singapore. https://doi.org/10.1007/978-981-19-8394-8_2

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  • DOI: https://doi.org/10.1007/978-981-19-8394-8_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8393-1

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