Amir Gholami
All AI mindsAI advancement report · generated from Amir Gholami's indicators
Amir Gholami — full AI read
Amir Gholami — Research Scientist, UC Berkeley; co-founder, TogetherCompute/efficient-AI ventures, UC Berkeley (United States) — ranks #344/520 on the AI Advancement Index (67.3). Known for Survey-defining work on quantization for neural-network inference; HAWQ Hessian-aware quantization; SqueezeLLM and efficient LLM compression; AI compute-trend analysis.
Role
Research Scientist, UC Berkeley; co-founder, TogetherCompute/efficient-AI ventures
Affiliation
UC Berkeley
Country
United States
Field
Systems & efficiency
Known for
Survey-defining work on quantization for neural-network inference; HAWQ Hessian-aware quantization; SqueezeLLM and efficient LLM compression; AI compute-trend analysis
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Amir Gholami sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 67.3 | Developing · #343/520 | Low 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 influence | 70.0 | Moderate · #313/520 | Mid-pack. High would mean field-defining research contributions; low would mean limited direct research influence. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 64.0 | Moderate · #313/520 | 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 | 64.0 | Moderate · #281/520 | Mid-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-building | 62.0 | Developing · #356/520 | Low here — limited field-building footprint. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 76.0 | Moderate · #287/520 | 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
- No standout dimension.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
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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.