Mapping the technological evolution of generative AI: a patent network analysis.

ABSTRACT: This study systematically maps the technological evolution and innovation landscape of Generative Artificial Intelligence (GAI) through a large-scale analysis of patent networks. Leveraging advanced text mining, network modeling, and community detection techniques on over 20,000 patents from Lens.org, we identify key technological domains, trace conceptual shifts, and highlight emerging trends across three major periods (pre-2016, 2016-2020, 2021-2025). Results reveal a pivotal transition post-2016 from early modular and domain-specific innovations, such as neuromorphic computing and bioengineering, toward integrated generative frameworks, API-driven platforms, and multi-modal capabilities. The post-2016 era is characterized by rapid growth in patent volume, increased conceptual diversity,

SUBMITTER: Mohammadi N 

PROVIDER: S-EPMC12753650 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature