Mapping the technological evolution of generative AI: a patent network analysis
Navid Mohammadi, Jalil Heidary Dahooie, Amir Ali Bengari, Arash Rahimi · 2025
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Description
Navid Mohammadi and co-authors map, in a 2025 paper, how generative AI technology grew and branched, using the network hidden inside more than twenty thousand patents. Patents record who built on whose ideas, so their links form a map of a field's evolution. The team mined patent texts, modeled the network, and detected clusters across three eras: before twenty sixteen, the late twenty tens, and the early twenty twenties.
After twenty sixteen the map changed character. Early clusters were narrow and separate, covering topics like brain-like chips and bioengineering. Later clusters fused into integrated generative frameworks, platform services, and multi-modal systems. New clusters covered medical imaging, personal interactive tools, media authentication, and privacy protection. The authors offer the map as a planning guide for research leaders, policymakers, and investors.
Catalog record
| CREATOR | Navid Mohammadi, Jalil Heidary Dahooie, Amir Ali Bengari, Arash Rahimi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 89 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |