LLMs and graph analysis detect emerging tech convergence

Researchers have developed a new data-driven pipeline to forecast transformative technologies by analyzing patterns of technological convergence. This method utilizes Large Language Models (LLMs) to extract semantic triples from unstructured text, constructing a comprehensive graph of technology-related entities and their relationships. The pipeline incorporates novel techniques for grouping similar technology terms and employs graph-based metrics to detect convergence signals, validated on extensive datasets of academic preprints and patent applications. AI

IMPACT Provides a scalable framework for identifying emerging technological trends, aiding researchers and industry strategists.

RANK_REASON Academic paper detailing a new methodology for technology forecasting. [lever_c_demoted from research: ic=1 ai=1.0]

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• Alexander Sternfeld
• arXiv
• Large Language Models
• USPTO

• paper
• other

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