With the aim of discovering new materials by applying machine learning and AI algorithms to materials data, we conduct both theoretical and empirical research. In our theoretical research, we develop property-prediction algorithms by integrating machine learning with first-principles calculations and accurate structure optimization algorithms. To use these algorithms in practice, we proactively develop software tools and share our achievements with other teams. Through these initiatives, we aim to search for useful materials from large-scale databases.