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​🦾About This Event

​An invite-only forum at Stanford bringing together the researchers, scientists, founders, and investors shaping the future of embodied intelligence.

​This gathering is designed for candid conversations about the challenges that will define the next decade of Physical AI—from frontier robotics model labs and next-generation startups to the critical AI infrastructure, GPU computing, data, and supply chain layers that enable real-world deployment.

​While recent breakthroughs have accelerated progress in robot learning, significant questions remain around data infrastructure, scaling compute, evaluation, world models, simulation, and real-world deployment. As the industry pushes toward commercial scale, these challenges are becoming increasingly important.

​Together, we'll explore what it will take to bridge the gap between research and reality—and what technologies, companies, and infrastructure layers will define the next generation of Physical AI.

​🧑‍🔬Who's in the Room

​This gathering is designed for leaders across the full Physical AI ecosystem:

• ​Researchers from leading robotics, foundation model, and AI infrastructure labs

• ​Faculty from top academic institutions

• ​Founders & Executives from frontier robotics, simulation, and AI compute companies

• ​Investors backing the next generation of robotics and Physical AI companies

​This is intentionally a curated, high-signal gathering focused on meaningful discussion, relationship building, and the exchange of ideas among those actively building, scaling, and investing in the future of Physical AI.

​📋 Agenda

• ​🚪 Registration & Networking | 1:00 PM – 1:30 PM

• ​🎤 Opening Keynote | 1:30 PM – 1:40 PM

• ​🔬 Panel I: Bridging the Sim-to-Real Gap | ~1:40 PM – 2:20 PM

  • ​How can Physical AI systems reliably transition from simulation to real-world deployment?

  • ​🗣️ Moderator: Iris Sun (Partner, 500 Global)

  • ​🗣️ Speakers:

    • ​Ding Zhao (Director, Safe AI Lab, Carnegie Mellon University）

    • ​Kanu Gulati (Partner, Khosla Ventures)

    • ​Jun Qian (VP, Oracle)

• ​🧠 Panel II: World Models and the Foundations of Physical AI | ~2:20 PM – 3:00 PM

  • ​What role will world models, scaling compute, data, and infrastructure play in the next generation of robot learning?

  • ​🗣️ Moderator: Chris Zhong

  • ​🗣️ Speakers:

    • ​Wei Zhan (Chief Scientist, Applied Intuition)

    • ​Andrew Dai (Co-Founder, Elorian)

    • ​Jaime Lien (Chief Scientist, Archetype)

    • ​Sujith Ravi (GVP, AI Foundations, Oracle)

• ​☕ Coffee Break & Networking | 3:00 PM – 3:45 PM

• ​📈 Panel III: The Road to Self-Evolving Physical AI | ~3:45 PM – 4:30 PM

  • ​What will it take to build robotic systems that continuously learn, adapt, and improve after deployment?

  • ​🗣️ Moderator: Fei Wang (Co-founder, Alchedata.AI)

  • ​🗣️ Speakers:

    • ​Leo Ma (CEO, Roboforce)

    • ​Duncan M. (CFO, Field AI)

    • ​Tushar Gupta (Managing Director, Qualcomm Ventures)

    • ​Tom Gong (Principal Tech Product Manager, Nvidia GEAR)

• ​🤝 Networking Reception | 4:30 PM – 6:00 PM

​🤝 Hosted by:

• ​500 Global is a venture capital firm with $2.7B in assets under management that invests early in founders building fast-growing technology companies. We focus on markets where technology, innovation, and capital can unlock long-term value and drive economic growth.

• ​Sixty Degree Capital is a premier venture capital firm specializing in deep tech, enterprise software, health, and other high-impact sectors. With a global perspective and network, we align capital and insight to help extraordinary founders scale their pioneering ventures from early stage to growth.

• ​Alumni Ventures is one of the world's most active venture capital platforms, with $1.4B+ in assets raised and investments in 1,300+ companies. Our network of 850,000+ members and 40+ dedicated investors connects accredited individuals to high-quality venture deals — typically reserved for institutions.

• ​Alchedata.ai is building the next-generation data infrastructure to power advanced AI, with a core focus on Physical AI, Agentic AI, and multimodal intelligent systems. By integrating data generation, evaluation, post-training, and reinforcement learning (RL) into a closed-loop platform, Alchedata provides the essential engine for continuous model iteration and self-evolving capabilities. Today, Alchedata’s global network spans key markets across the US, Japan, South Korea, and Europe, serving pioneering builders in robotics, Physical AI, academic research, and Agentic AI.

• ​Nebius is the AI cloud company delivering a unified platform that spans the complete AI journey — from data and model training and tuning to production runtime and deployment. Headquartered in Amsterdam and listed on Nasdaq (NBIS), Nebius delivers a full-stack platform built on proprietary, high-performance GPU infrastructure designed specifically for AI developers and builders worldwide.

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