Knowledge flows from science to AI technology: Identifying core and brokerage technological roles
Fig 5
Knowledge Flow from science to technology in AI Technologies (10-years periods).
Unlike the earlier five-year analyses, this figure presents a ten-year aggregated analysis to assess the robustness of science-to-technology knowledge flow patterns. Each category is divided into two stacked panels, with the upper and lower boxes representing the first and second ten-year periods, respectively. As before, the horizontal axis reflects core technological centrality, and the vertical axis captures brokerage-based modes of knowledge integration. The results show that core technologies maintain AI-centric knowledge flows, while brokerage technologies exhibit science-embedded patterns in which technological objectives guide the embedding and use of scientific knowledge. The figure confirms that these structural patterns remain stable even when the temporal aggregation window is expanded.