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Yutaka Matsuo

All AI minds
AI advancement report · generated from Yutaka Matsuo's indicators

Yutaka Matsuo — full AI read

Yutaka Matsuo — Professor, Graduate School of Engineering, University of Tokyo (Japan) — ranks #457/520 on the AI Advancement Index (62.0). Known for Leading figure in Japanese deep-learning research and policy; chair of Japan's AI strategy councils; mentor to the Japanese AI startup ecosystem.

Role
Professor, Graduate School of Engineering
Affiliation
University of Tokyo
Country
Japan
Field
AI policy & society
Known for
Leading figure in Japanese deep-learning research and policy; chair of Japan's AI strategy councils; mentor to the Japanese AI startup ecosystem

Dimension read

DimensionValueStandingWhat a high vs low value means — and where Yutaka Matsuo sits
AAI AI Advancement (AAI)62.0Developing · #455/520Low here — lower relative influence within this elite set.
▲ high: among the very top minds advancing AI  ·  ▼ low: lower relative influence within this elite set
Research influence Research influence56.0Lagging · #458/520Low here — limited direct research influence.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role54.0Developing · #431/520Low here — removed from frontier development.
▲ high: central to building today's frontier AI  ·  ▼ low: removed from frontier development
Thought leadership Thought leadership68.0Moderate · #203/520Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building72.0Moderate · #209/520Mid-pack. High would mean builds the field — mentorship, institutions, tools, community; low would mean limited field-building footprint.
▲ high: builds the field — mentorship, institutions, tools, community  ·  ▼ low: limited field-building footprint
Momentum Momentum64.0Lagging · #468/520Low here — less active at the current frontier.
▲ high: driving AI's advancement right now  ·  ▼ low: less active at the current frontier

Strengths

  • No standout dimension.

Risk factors

  • A significant, well-rounded contributor to AI's advancement.
These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.