/ 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, founded by neuroscientist Prof. Henry Markram, 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.
After a keynote by Prof. Henry Markram he’ll be joined onstage by a panel of Physical AI leaders with experience from Microsoft, Capgemini, and FedEx - unpacking what's next for AI that operates, learns, and adapts in the physical world.
Speakers: Prof. Henry Markram - Co-Founder & Chairman, 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.
