World Congress 2026 North America
From Simulation to Reality: Overcoming the Data Scarcity Crisis in Physical AI
Mitesh Patel
NVIDIA Corporation, Developer Advocate -- Manager
World Congress 2026 North America
World Congress 2026 North America
September 23–25, 2026 · San José, CA
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While artificial intelligence represents a pivotal shift in human capability, its long-term impact hinges on how underlying technologies are governed and distributed. Open-weight AI models democratize access for startups, independent researchers, and public institutions by lowering barrier-to-entry costs and spurring decentralized innovation. By making baseline architectures accessible, open models empower organizations to build custom solutions while preserving data sovereignty and eliminating vendor lock-in. Furthermore, open weights strengthen safety and security by allowing the global research community to independently audit, stress-test, and refine systems far beyond what proprietary platforms permit. This panel explores the critical role of open-weight models, their practical applications, and their transformative influence across domains outside traditional technology, including healthcare, public policy, and education.
World Congress 2026 North America
Mitesh Patel
NVIDIA Corporation, Developer Advocate -- Manager
World Congress 2026 North America
Andreas Erben
CTO for Applied AI and Metaverse at daenet
World Congress 2026 North America
Yuval Dvir
Commercial Executive, SandboxAQ
World Congress 2026 North America
Emmanuel Acheampong
Senior Manager Developer Relations at Crusoe AI