Leveraging small data to create value that cannot be obtained from big data
The third AI boom has progressed around deep learning, based on the naive belief that if big data, which can be collected inexpensively, are processed with a high-speed computer, it would be possible to create a machine that is smarter than humans. On the other hand, human experience, implicit knowledge possessed only by a small number of experts, and data whose occurrence itself is rare or whose collection is high-cost, are being forgotten.
We are intentionally focusing on small data and are carrying out analyses that proactively incorporate human experience and implicit knowledge, with the aim to crate new value that cannot be obtained from big data. Specifically, we use small data analyses to develop novel medical devices and realize innovative production systems.
Medical Big Data Analysis
Fostering AI Personnel
MAIL Nagoya University, Graduate School of Engineering, Department of Materials Science and Engineering
Furocho, Chikusa-ku, Nagoya-shi, AICHI 464-8601
Nagoya University, Higashiyama Campus, Faculty of Engineering, Building 1, Suite 401
Click here for the campus map (Building: B2-5)