NVIDIA’s Jiantao Jiao: World Models, Uncertainty, and AI for Science
Автор: SAIR
Загружено: 2026-02-22
Просмотров: 5998
Описание:
In this exclusive interview with SAIR Secretary General Peter L, Professor Jiantao Jiao, Director of AI at NVIDIA and Professor at UC Berkeley, discusses how AI is reshaping scientific discovery—and why organizations like SAIR are essential to guide that transformation.
Jiao explains how modern AI systems act as “super assistants” for researchers, lowering the barrier to entry for complex scientific problems and accelerating progress across disciplines. He also explores the role of world models, calibrated uncertainty, and simulation in helping scientists make better predictions and identify errors more quickly.
The conversation touches on the evolving relationship between general foundation models and specialized domain models, and why the future of AI in science will likely depend on a combination of both.
In this conversation:
• How AI is accelerating scientific progress
• The concept of world models and calibrated uncertainty
• AI as a super-assistant for researchers
• Lowering barriers to scientific discovery
• The future of general vs. specialized AI systems
• Why SAIR is needed to guide mission-critical AI applications
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