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2025 U.S. Taiwan High-Tech Forum: Physical AI LIVE

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Computer History Museum (Hahn Auditorium)
Mountain View CA, United States
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Sat, Nov 1, 12:30pm - 6pm PDT

Event description

This year’s U.S. Taiwan High-Tech Forum (UTHF) shines a spotlight on Physical AI, the intelligence that powers machines to sense, act, and make decisions in the real world. From AI agent to robotic, Physical AI represents the frontier where algorithms meet action.

At UTHF 2025, we will explore where we are today, where the future is headed, and what critical gaps remain on the path to widespread adoption. Our speakers, leaders and pioneers in the field, will share their insights on technical breakthroughs, societal impact, and the opportunities that lie ahead.

Event website: https://www.uthf.net


🔹 Speaker Spotlight

Ed H. Chi

  • Vice President of Research, Google DeepMind

Ed H. Chi is VP of Research at Google DeepMind, leading machine learning research teams working on large language models (from LaMDA leading to launching Bard/Gemini) and universal assistant agents. With 39 patents and ~200 research articles, he is also known for research on user behavior in web and social media. As the Research Platform Lead, he helped launch Bard/Gemini, a conversational chatbot experiment. His research also delivered significant improvements for YouTube, News, Ads, and Google Play Store with over 1000 product landings and major product impact since 2013.

Chelsea Finn

  • Assistant Professor of Computer Science and Electrical Engineering, Stanford University

  • Co-founder, Physical Intelligence

Chelsea Finn is widely recognized for her pioneering research in meta-learning, which enables AI systems to quickly adapt to new tasks. She is also co-founder of Physical Intelligence (π), a robotics startup advancing general-purpose robot learning with innovations such as the π₀.₅ vision-language-action model. Her work at the intersection of AI and robotics has been honored with the Presidential Early Career Award for Scientists and Engineers (PECASE), and in 2025 she spoke at Y Combinator’s AI Startup School on the future of general-purpose robotics.

Chi Chiu

Chi Chiu is a highly accomplished technology executive, serial entrepreneur, and deep tech leader with over two decades of experience driving innovation at Google. As a builder and strategist, he specializes in the convergence of Deep Tech, AI, and Automation, with a strong focus on the practical deployment of Physical AI systems and advanced Robotics. Through his 23-year career at Google, Chi has been instrumental in building and scaling complex platforms from incubation to market, demonstrating a unique ability to translate cutting-edge technology into global, operational reality. This experience includes developing foundational automation and operational excellence for large-scale systems, a core component of future Physical AI success.

Ashish Kapoor

Ashish Kapoor is the CEO and Co-Founder of General Robotics, and the visionary inventor of AirSim. A pioneer in robotics and AI, he spent over a decade at Microsoft, where he served as General Manager of Autonomous Systems Research, leading the company’s efforts in robotics and autonomy. At General Robotics, Ashish is building general-purpose robot intelligence that is accessible, interpretable, and safe. His work spans aerial robotics, precision agriculture, energy-efficient autonomy, and simulation-driven machine learning, integrating machine learning, computer vision, robotics, and human-AI interaction — with explorations into quantum computing and formal methods.

Shin Chen

Shin Chen is an investor at E14 Fund, an MIT-affiliated venture fund backing AI and deep tech startups. She focuses on AI and robotics, partnering with founders from research backgrounds to turn breakthrough technologies into real-world companies. Before joining E14, Shin built startups across Africa, Asia, and the U.S. She also leads 1943, a community of 300+ AI and ML researchers from top institutions and labs. Shin holds an MBA from UC Berkeley Haas.

✨ Stay tuned: we’ll be announcing speakers each week leading up to the event!

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Computer History Museum (Hahn Auditorium)
Mountain View CA, United States
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