New Technological Convergence Index (TCI) Offers Advanced Patent Analysis
Researchers have developed a new tool, the Technological Convergence Index (TCI), to better understand and measure technological convergence. This innovative index offers a more comprehensive view than existing measures, using advanced AI techniques to analyze patent data.
The TCI assesses convergence along two dimensions: depth and breadth. Depth is calculated using textual descriptions from the International Patent Classification (IPC) system and advanced AI techniques. It captures the extent to which different technologies are combined within a single patent. Breadth, on the other hand, is measured using the Shannon Diversity Index, capturing the variety of IPC-based knowledge combinations within patents.
The index demonstrates strong reliability, having been tested against patent quality indicators. It offers a more accurate measure of convergence, which is a significant challenge in innovation research. The TCI uses machine learning and natural language processing to understand semantic relationships in innovation research, providing a more nuanced understanding of technological convergence.
The Technological Convergence Index (TCI) is a valuable new tool for researchers and innovators alike. By offering a more comprehensive and accurate measure of technological convergence, it can help drive modern innovation and provide insights into the complex interplay of technologies.
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