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SUMMARY: Frontiers in Embodied AI for Autonomous Driving - Jamie Shotton\,
  Wayve
DTSTART:20250502T130000Z
DTEND:20250502T140000Z
UID:TALK231439@talks.cam.ac.uk
CONTACT:Sally Matthews
DESCRIPTION:Over the last decade\, we've seen unprecedented progress in AI
  across many disciplines and applications. However\, autonomous vehicles a
 re still far from mainstream even after billions of dollars of investment.
  In this talk we’ll explore what’s been holding progress back\, and ho
 w by adopting a modern embodied AI approach to the problem\, Wayve is fina
 lly unlocking the potential of scalable autonomous driving across the glob
 e.\n \nWe’ll also explore some of our latest research in multimodal lear
 ning to combine the power of large language models with the driving proble
 m\, and in controllable generative world models as learned simulators.\n\n
 Bio: Jamie leads Wayve’s Science department\, where he guides our resear
 ch teams to unlock new research breakthroughs\, to enable those breakthrou
 ghs to have meaningful impact for the business\, and to disrupt both our t
 echnical and business strategy to ensure Wayve stays at the forefront of i
 nnovation.\nJamie has been at the forefront of applied AI research for the
  past 20 years. Before joining Wayve\, Jamie was Partner Director of Scien
 ce at Microsoft and Head of the Mixed Reality & AI Labs. While at Microsof
 t\, Jamie shipped foundational features for Microsoft’s Kinect (Microsof
 t’s line of motion sensing input devices) and the hand- and eye-tracking
  that enable HoloLens 2’s interaction model (smart glasses).\nJamie has 
 a PhD in computer vision from the University of Cambridge and has received
  multiple Best Paper and Best Demo Awards at top-tier academic conferences
 . He was elected a Fellow of the Royal Academy of Engineering in 2021.
LOCATION:Computer Lab\, LT1
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