AI Interdisciplinary Research Projects

The Next Generation Artificial Intelligence Research Center (AI Center) of the University of Tokyo is promoting short-term, intensive projects of interdisciplinary collaboration that tackles difficult or unsolved problems, or unresolved social issues, by leveraging AI in various research fields. The purpose is to accelerate academic innovation and novel solutions of social issues through fusion with AI. We also hope that the participating UTokyo researchers will gain a rich learning experience in interdisciplinary collaboration.

Promoted projects:
(FY2019)

• New Developments in Manga and Comics Using AI Technology
• A Study of Human Perceptual and Cognitive Characteristics and its Application to Assistive and Intervention Technologies
• A Study of Deep Learning generalization performance based on average flatness
• Construction of Insect Intelligence Simulation
• Estimation of Factors that cause Hierarchical Structures in Field of Education
• Neurointelligence research as a basis for next-generation AI technology

(FY2020)

• Construction of nurse-patient behavior model based on integration of medical ward sensing data
• Redesigning Political System by AI
• Development of an interface for Beyond Book for learning motivation
• Development of data-driven proxy models for predicting aneurysm by machine learning
• Construction of a simulation of insect olfactory system
• Real-time inland water flood forecasting based on knowledge distillation from flooding analysis models
• A study on automatic data augmentation for deep learning
• Research Platform for Remote Brain Robotics for Education in the 21st Century

(FY2021)

• A study of consensus formation by focal points and its application to consensus-promotion mechanisms in the society
• Composition of patient care support methods by integration of ward sensor data and medical record data
• Impact of AI introduction on labor productivity
• Searching for odor sources using a drone equipped with an insect brain neural circuit model and a tactile odor sensor
• Development of optimized neural network by fusion of humanities and sciences for solving real-world problems
• Utilization of soccer contents using scouting videos
• Research platform for transversal Intelligence Science education using polymorphic transforming Robots

(FY2022)

• High-speed automation of rodent social behavior analysis
• Examination of the correlation between dietary, especially Japanese food, and blood glucose fluctuations in people with diabetes, and construction of an algorithm for predicting blood glucose fluctuations.
• New developments in precision quantum sensing with AI
• Circadian Patterns Analysis on Autonomic Nervous System (ANS) Data of Infants and Their Caregivers
• Explainable Recommendations AI