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Yoshua Bengio

All AI minds
AI advancement report · generated from Yoshua Bengio's indicators

Yoshua Bengio — full AI read

Yoshua Bengio — Professor, Université de Montréal; Scientific Director, Mila, Mila (Canada) — ranks #5/520 on the AI Advancement Index (89.9). Known for Deep learning foundations, attention, 2018 Turing Award; chairs the International AI Safety Report. Strongest on Research influence (100.0, Leading).

Role
Professor, Université de Montréal; Scientific Director, Mila
Affiliation
Mila
Country
Canada
Field
Deep learning pioneer
Known for
Deep learning foundations, attention, 2018 Turing Award; chairs the International AI Safety Report

Dimension read

DimensionValueStandingWhat a high vs low value means — and where Yoshua Bengio sits
AAI AI Advancement (AAI)89.9Leading · #5/520High here — among the very top minds advancing AI.
▲ high: among the very top minds advancing AI  ·  ▼ low: lower relative influence within this elite set
Research influence Research influence100.0Leading · #1/520High here — field-defining research contributions.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role70.0Moderate · #228/520Mid-pack. High would mean central to building today's frontier AI; low would mean removed from frontier development.
▲ high: central to building today's frontier AI  ·  ▼ low: removed from frontier development
Thought leadership Thought leadership96.0Leading · #2/520High here — shapes how the field and public think about AI.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building95.0Leading · #3/520High here — builds the field — mentorship, institutions, tools, community.
▲ high: builds the field — mentorship, institutions, tools, community  ·  ▼ low: limited field-building footprint
Momentum Momentum90.0Leading · #22/520High here — driving AI's advancement right now.
▲ high: driving AI's advancement right now  ·  ▼ low: less active at the current frontier

Strengths

  • Research influence (100.0, Leading) — field-defining research contributions.
  • Thought leadership (96.0, Leading) — shapes how the field and public think about AI.
  • Field-building (95.0, Leading) — builds the field — mentorship, institutions, tools, community.

Risk factors

  • A foundational researcher whose work much of the field is built on.
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.