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SUMMARY:Building Embodied Intelligence: Insights from Wayve’s Journey in
  Autonomous Driving - Dr Alex Kendall
DTSTART:20260211T180000Z
DTEND:20260211T190000Z
UID:TALK241873@talks.cam.ac.uk
CONTACT:Beverley Larner
DESCRIPTION:Today\, the world is captivated by cognitive AI applications s
 uch as large language models. But what will it take to bring the benefits 
 of AI into the messy\, diverse and safety-critical physical world? Robotic
 s and autonomous systems must deal with open-ended environments\, irrevers
 ible physical actions\, and deployment economics that look very different 
 from pure software.\n\nIn this talk\, I will outline the frontier challeng
 es and opportunities in embodying AI in the real world\, drawing on our jo
 urney building Wayve. Originating from research on deep learning for scene
  understanding at the University of Cambridge\, Wayve has spent the last d
 ecade developing Embodied Intelligence for autonomous driving. Our technol
 ogy has been demonstrated across more than 500 cities in Europe\, North Am
 erica and Asia\, and will soon be deployed with major automakers such as N
 issan and fleet partners like Uber.\n\nI will share the key technical idea
 s\, system-level lessons\, and open problems that must be solved to make E
 mbodied AI a safe\, scalable and economically viable reality.
LOCATION:Bristol-Myers Squibb Lecture Theatre\, Department of Chemistry
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