AI Insights Session：Celebrating 5 Years of AI Study Group
Since opening the Study Group to the public in May 2021, our community is now approaching its fifth anniversary. To mark this milestone, we are hosting a small gathering in Silicon Valley for friends, learners, and professionals interested in AI, agents, and real-world applications.
This event is both a celebration and a space for meaningful exchange. Several AI companies will share practical experiences, implementation insights, and lessons learned from applying AI in real business and product settings.
Chris Liu, CTO, DeepReach.ai
This talk offers a frontline perspective on the biggest questions in Physical AI in 2026, including how much of the humanoid wave is real versus hype, and how China and the U.S. differ across hardware, models, deployment, and data. Drawing on recent developments from companies such as NVIDIA, Physical Intelligence, and Unitree, Chris will share a simple framework for evaluating where to place bets in this space, and will conclude with an introduction to DeepReach’s work in Physical AI data infrastructure.
Leo Liu, CEO, Tap&Tell AI
As AI for legal continues to gain momentum among startups, this talk will highlight TNT’s unique approach to addressing a broad range of legal needs while integrating seamlessly with existing law firm systems.
Larry Sun, CEO, Parsimo Inc.
Parsimo deploys autonomous AI agents that continuously observe, reason, and act to eliminate wasted AI infrastructure spend across cloud, neocloud, and on-prem — cutting costs up to 70%, 24/7, without human intervention.
Yaokai Jiang, CEO, Momen.app
Yaokai will share how Momen customers are building AI applications on the platform, including real-world case studies covering AI-powered workflows, internal tools, customer service agents, and business automation through rapid no-code development.
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IBM Agent Demo
Speakers: Jim Busche, Ted Chang, Yihong Wang
From Autopilot to Co-Pilot: Mastering Agentic AI in Development
Discover how Agentic AI transforms development workflows from manual coding to outcome-driven architecture. - Learn practical integration patterns using Model Context Protocol (MCP) and Agent Skills, plus CLI automation techniques that accelerate your development pipeline while maintaining control and code quality.