LDA 토픽모델링을 활용한 인공지능 분야 국가연구개발사업의주요 연구 토픽과 투자 동향 분석: 인공지능 원천기술과 응용기술을 중심으로

This study examines key research topics and investment trends in Korea’s National R&D programs for Artificial Intelligence (AI). It categorizes 7,359 AI research projects supported by the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, and the Ministry of SMEs and Startups into core AI technology and applied AI technology and applies topic modeling to analyze them. The analysis identifies four major topics within the core AI technology group and sixteen within the applied AI technology group. The findings indicate that total investment in AI R&D projects reached approximately 2.3764 trillion KRW between 2019 and 2023, with funding for applied AI technology being 6.6 times higher than that for core AI technology. In the core AI technology group, model optimization through federated learning, lightweight AI, and AI accelerator semiconductor emerged as promising research areas. In the applied AI technology group, IoT and edge computing-based smart robotics, optimization using reinforcement & transfer learning, and anomaly detection and object recognition-based security solutions were identified as key research priorities. Regarding funding strategies, the Ministry of Science and ICT allocated over 90% of its AI R&D budget to core AI technology, while the Ministry of Trade, Industry and Energy and the Ministry of SMEs and Startups primarily focused on applied AI technology. These findings provide essential insights for policymakers and researchers in shaping AI research and development strategies.