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Eye On A.I.

#182 Dragomir Anguelov: The Role of AI and Machine Learning in Waymo's Self-Driving Cars

Apr 21, 2024
01:03:06
Snipd AI
Dragomir Anguelov from Waymo discusses the future of autonomous driving, highlighting advancements in machine learning, challenges of scaling complex systems, and breakthroughs in deploying robotaxis. He explores the evolution of neural networks and the convergence of AI, robotics, and transportation for developing safe and reliable self-driving cars.
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Quick takeaways

  • Waymo aims to establish a versatile autonomous driving stack beyond ride-hailing, using machine learning for unified systems.
  • Dragomir Anguelov's expertise spans from 3D vision to large neural networks, driving innovations in autonomous driving technologies.

Deep dives

Waymo's Vision for Expanding Use Cases and Generalized Autonomous Driving

Waymo aims to diversify beyond right hailing into a versatile, generalized stack for various autonomous driving applications. The company leverages machine learning to learn and generalize across platforms, aspiring to establish a unified system for autonomous driving applications with scalability.

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