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240412 ||| eng |
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|a Calvino, Flavio
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|a What technologies are at the core of AI?
|h Elektronische Ressource
|b An exploration based on patent data
|c Flavio, Calvino ... [et al]
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|a Paris
|b OECD Publishing
|c 2023
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| 300 |
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|a 45 p.
|c 21 x 28cm
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| 653 |
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|a Science and Technology
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| 700 |
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|a Criscuolo, Chiara
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|a Dernis, Hélène
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|a Samek, Lea
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|a eng
|2 ISO 639-2
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| 989 |
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|b OECD
|a OECD Books and Papers
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|a OECD Artificial Intelligence Papers
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|a /10.1787/32406765-en
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|a oecd-ilibrary.org
|u https://doi.org/10.1787/32406765-en
|x Verlag
|3 Volltext
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|a 600
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|a This report outlines a new methodology and provides a first exploratory analysis of technologies and applications that are at the core of recent advances in AI. Using AI-related keywords and technology classes, the study identifies AI-related patents protected in the United States in 2000-18. Among those, "core" AI patents are selected based on their counts of AI-related forward citations. The analysis finds that, compared to other (AI and non-AI) patents, they are more original and general, and tend to be broader in technological scope. Technologies related to general AI, robotics, computer/image vision and recognition/detection are consistently listed among core AI patents, with autonomous driving and deep learning having recently become more prominent. Finally, core AI patents tend to spur innovation across AI-related domains, although some technologies - likely AI applications, such as autonomous driving or robotics - appear to increasingly contribute to developments in their own field
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