산업의 AI-Driven Digital Transformation을 지향합니다
TEAMLAB의 궁극적인 존재의 이유는 산업의 변화를 이끌 사람을 만드는 것입니다.
We research and develop AI solutions for industrial digital transformation — spanning shipbuilding, patent intelligence, and education.
주요 연구 분야
Core Research Areas
조선해양 Digital Transformation
Shipbuilding & Maritime DT
Applying AI and digital twin technologies to optimize shipyard operations, predictive maintenance, and smart manufacturing.
AI in Patent
Patent Intelligence
Deep learning for patent landscaping, citation recommendation, document clustering, and text classification.
AI in Education
Educational AI
Automated scoring, spelling correction, and learning analytics powered by NLP for educational assessment.
연구 방법론
Research Methodologies
ML/DL AI Approach
Machine learning and deep learning methods including CNNs, transformers, capsule networks, and diffusion models.
Digital Twin
Creating virtual replicas of physical systems for real-time monitoring, simulation, and optimization.
Simulation
Computational simulation for predictive modeling, demand forecasting, and scenario analysis.