What technologies are at the core of AI?: An exploration based on patent data

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...

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Bibliographic Details
Main Author: Calvino, Flavio (Author)
Other Authors: Criscuolo, Chiara (Contributor), Dernis, Hélène (Contributor), Samek, Lea (Contributor)
Format: Electronic eBook
Language:English
Published: Paris OECD Publishing 2023
Series:OECD Artificial Intelligence Papers no.6
Subjects:
Online Access:DE-862
DE-863
Summary: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.
Physical Description:1 Online-Ressource (45 Seiten) 21 x 28cm.

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