Cover Image for Stanford Frontier Signal: From Hardware to Physical AI
Cover Image for Stanford Frontier Signal: From Hardware to Physical AI
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Stanford Frontier Signal: From Hardware to Physical AI

Hosted by 2&TECH
Registration
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About Event

​AI is leaving the screen and entering the physical world.

​Frontier Signal is a one-day mini-conference at Stanford, hosted by 2%Tech, for the founders, investors, and builders working at the edge of AI hardware and robotics: the people turning models into machines and research into real-world impact.

​What we’ll cover

  • ​AI Hardware: chips, sensors, edge compute, and the infrastructure behind embodied intelligence

  • ​Robotics: humanoids, manipulation, autonomy, and what it takes to deploy at scale

  • ​Real-World Impact: where physical AI is already working, and where the next breakthroughs will come from

​What to expect

  • ​Keynotes and fireside chats with founders and investors shaping the space

  • ​Panels on building, funding, and scaling physical AI companies

  • ​Demos / showcase

  • ​Plenty of time to meet the people building the next generation of AI in the physical world

​Who should come
Founders and early-stage teams in AI hardware and robotics, investors backing deep tech, engineers and researchers, and students who want to build in physical AI.

​Agenda (subject to change)

  • ​9:00 AM: Check-in & breakfast

  • ​[Morning keynotes & panels]

  • ​[Lunch & networking]

  • ​[Afternoon sessions / demos]

  • ​4:30 PM: Close

​Speakers: [To be announced]

​In partnership with
AWS · Yummy Future · Collov Labs · Y Combinator · GooseMoose

​About 2%Tech
People, ideas, and technology for a more physical world. 2%Tech brings together builders and investors working on real-world innovation.

​📅 Saturday, October 24, 2026 · 9:00 AM – 4:30 PM PT
📍 Stanford University, Stanford, CA

​[Space is limited. Registrations are reviewed and approved on a rolling basis.]

​The next generation builds here.

Location
Stanford University
450 Jane Stanford Way, Stanford, CA 94305, USA
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