Abstract：Key core technologies are vital strategic assets to the country.Their accurate identification and the detection of innovation opportunities are essential for achieving technological breakthroughs.This study uses the U.S.'s lists of emerging key technologies as benchmarks and constructs a semantic matching model to compare these texts with corporate patents.By computing semantic similarity between policy descriptions and patents of restricted Chinese enterprises via the Word2vec model,the paper identifies key core technologies constrained in artificial intelligence.Based on these,it integrates patent and WOS publication data,incorporates SAO semantic structures into the GTM model to generate technology maps,and thereby identifies technology gaps and innovation opportunities.The findings reveal three potential technology opportunities,namely AI-native routers,generative AI large-scale models,and edge AI,as well as three breakthrough directions,which are quantum AI,AI-driven drug development,and embodied intelligence.This study offers a new analytical framework for identifying and assessing innovation opportunities in key core technologies within the context of Sino-U.S.tech competition.
戚湧, 程驭. 我国关键核心技术机会发现研究——以人工智能领域为例[J]. 中国科技论坛, 2026(1): 20-31.
Qi Yong, Cheng Yu. Research on Opportunity Discovery of Key Core Technologies in China ——Taking Artificial Intelligence as an Example. , 2026(1): 20-31.
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