The One About Physical World Models (ft. Causal Labs & Ropedia)

🌍 What would it take for AI to understand the real world, not just describe it? Join us as we delve into the emergence of physical world models: advanced AI systems that learn the behavior of environments, foresee upcoming events, and ultimately facilitate action in intricate real-world scenarios.

🔍 About the Presentations

• Fangzhou Hong (Co-founder & CTO, Ropedia) will discuss "Building the Data Layer for World Models and Embodied AI".
• Dar Mehta (CEO & Co-Founder, Causal Labs) will present "The Case for Physics-First AI".

Please note that the program is subject to change.

🎙️ About the Speakers

• Fangzhou Hong is dedicated to creating the encyclopedia of human experience for embodied AI through Ropedia, having led the development of Xperience-10m, a premier multimodal dataset. With a Ph.D. from NTU and a strong background in AI, Fangzhou has a wealth of experience in transforming real-world experiences into machine intelligence.
• Dar Mehta specializes in causality prediction with Causal Labs and has an impressive track record from his prior roles at Waymo and Cruise, contributing to innovations that enable countless safety-critical rides across the U.S.

🤖 More About the Series
AI Wednesdays is Lorong AI’s weekly meetup that connects practitioners, researchers, and innovators for enriching discussions on research insights, product development, and engineering practices.

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