Definition
Yutaka Matsuo (松尾 豊) is a Japanese computer scientist and professor whose research focuses on artificial intelligence (AI), machine learning, and related interdisciplinary fields.
Overview
Matsuo holds a professorship at the University of Tokyo’s Graduate School of Information Science and Technology, where he leads research groups dedicated to AI theory, deep learning, computer vision, and the societal implications of intelligent systems. He has served as director of the university’s Institute for AI, overseeing collaborative projects that bridge academia, industry, and government. Matsuo is an active member of professional societies such as the Japanese Society for Artificial Intelligence (JSAI) and has contributed to national AI policy discussions in Japan. His scholarly output includes numerous peer‑reviewed journal articles, conference papers, and edited volumes, and he frequently participates in public lectures and media programs to promote AI literacy.
Etymology / Origin
The name “Yutaka” (豊) is a common Japanese given name meaning “abundant” or “prosperous.” The surname “Matsuo” (松尾) combines the characters for “pine” (松) and “tail” (尾). The name follows standard Japanese naming conventions, with the family name preceding the given name in Japanese contexts.
Characteristics
| Aspect | Details |
|---|---|
| Field of Expertise | Artificial intelligence, machine learning, deep learning, computer vision, AI ethics and policy |
| Academic Position | Professor, Graduate School of Information Science and Technology, University of Tokyo |
| Leadership Roles | Director, Institute for AI (University of Tokyo); Committee member, Japanese Society for Artificial Intelligence |
| Research Themes | Development of novel deep‑learning architectures; integration of AI with robotics; analysis of AI’s societal impact; interdisciplinary AI education |
| Public Engagement | Speaker at national and international conferences; commentator on AI policy for Japanese media; organizer of AI‑focused workshops and symposia |
| Awards & Honors | Recognized for contributions to AI research and education (specific award titles and years not publicly confirmed) |
| Education | Earned a doctorate in information science/engineering from a Japanese university (exact institution and year not publicly confirmed) |
Related Topics
- Artificial intelligence
- Machine learning
- Deep learning
- University of Tokyo – Graduate School of Information Science and Technology
- Japanese Society for Artificial Intelligence (JSAI)
- AI ethics and governance
- Computer vision
Note: Certain biographical details such as exact birth date, specific awards, and precise educational history are not publicly verified in reliable encyclopedic sources.