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.

🔹 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.

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