/ About this event
Language AI is a largely solved problem. Physical AI is not.
Robots and machines operating in the real world still have to be programmed from scratch for every task or trained on massive volumes of video and simulation data, only to fail the moment reality shifts.
Inait, a Swiss Deep Tech company, takes a fundamentally different approach. Its fast-learning AI gives machines a digital brain that learns the way real-world experience teaches us — through cause and effect — adapting on the fly, without retraining, without server farms, and without trillions of data points.
This has moved beyond the lab: early versions of these models are already deployed with industrial partners, handling a wide range of manufacturing tasks. That changes the economics of Physical AI: faster deployment, radically lower energy and data costs, on-site learning, and systems that keep working when the environment changes.
The event will begin with two short keynotes by Rebecca Yeung, Former Corporate Vice President, Advanced Technology, FedEx and Richard Frey, CEO of inait. After the talks they will be joined onstage by a panel of Physical AI leaders with experience from, Capgemini, and FedEx - unpacking what's next for AI that operates, learns, and adapts in the physical world.
Speakers: Richard Frey - CEO, inait Valerie Bertele (Moderator) – Microsoft Startups & AI Partnerships, and VC John Robins – Head of Physical AI, frog, part of Capgemini Daniel Lütgehetmann – CTO, inait Rebecca Yeung – Former Corporate Vice President, Advanced Technology, FedEx
Program: 6pm Doors open 6:30pm Keynote & Panel & Q&A 8pm Tour of Capgemini Physical AI Lab and networking 8:30pm Doors close
This event is part of a partnership between Swissnex and Frontiers.
This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
