Jitendra Malik
All AI mindsAI advancement report · generated from Jitendra Malik's indicators
Jitendra Malik — full AI read
Jitendra Malik — Professor of EECS; Research Director, UC Berkeley / Meta AI (United States) — ranks #49/520 on the AI Advancement Index (80.7). Known for Foundational computer vision now driving embodied AI; learning-based legged locomotion and humanoid control, habitat embodied agents; mentor to a generation of vision/robotics researchers. Strongest on Research influence (92.0, Leading).
Role
Professor of EECS; Research Director
Affiliation
UC Berkeley / Meta AI
Country
United States
Field
Robotics & embodied AI
Known for
Foundational computer vision now driving embodied AI; learning-based legged locomotion and humanoid control, habitat embodied agents; mentor to a generation of vision/robotics researchers
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Jitendra Malik sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 80.7 | Leading · #48/520 | High 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 influence | 92.0 | Leading · #11/520 | High here — field-defining research contributions. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 70.0 | Moderate · #228/520 | Mid-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 leadership | 78.0 | Strong · #69/520 | High 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-building | 88.0 | Leading · #22/520 | High here — builds the field — mentorship, institutions, tools, community. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 75.0 | Moderate · #319/520 | Mid-pack. High would mean driving AI's advancement right now; low would mean less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- Research influence (92.0, Leading) — field-defining research contributions.
- Field-building (88.0, Leading) — builds the field — mentorship, institutions, tools, community.
- Thought leadership (78.0, Strong) — shapes how the field and public think about AI.
Risk factors
- A foundational researcher whose work much of the field is built on.
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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.