Machine Learning Research Team

Machine learning's capabilities in learning relationship between variables, evaluating the importance of variables, and discovering hidden important variables are indispensable for modern artificial intelligence systems. These abilities enable us to classify, discriminate, predict, and interpolate data with various properties. The Machine Learning Research Team conducts a wide range of research on the theoretical foundations, algorithms, and applications of advanced machine learning technologies, such as Bayesian modeling, kernel learning, and deep learning. Expected applications include the analysis of chemical reaction data, physical simulation data, traffic data, fisheries data, and sensory-motor data from robots. In addition, we will contribute to facilitate communication between humans and artificial intelligence systems in collaboration with other research teams.