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You ever autonomously land a robot on Mars? 🪐Marco Pavone) has helped do just that. Marco is NVIDIA)'s Director, Autonomous Vehicle Research. His next challenge? **Bring true autonomy to vehicles on the road. **🚘Yeah, yeah, yeah. We’ve been hearing that autonomous vehicles are coming for like a decade. But new announcements at NVIDIA) GTC are making that a reality. Like…. This year. Join us as we dive in: Autonomous Driving: How new NVIDIA tech will make it a reality -- An Everyday AI) Chat with Jordan Wilson) and Marco Pavone).
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Topics Covered in This Episode:
- NVIDIA's GTC Conference and Autonomous Vehicle Announcements
- Marco Pavone's Background and Role at NVIDIA
- Introduction to Helios Full Stack System
- Overview of Current State of Autonomous Vehicles
- NVIDIA's Role in the Auto and Autonomous Vehicle Industry
- NVIDIA and General Motors Partnership
- Changes in Autonomous Driving Technologies
- Generative AI and Simulation in Autonomous Driving
- Challenges in Scaling Autonomous Vehicle Deployments
- Handling Location-Specific Driving Behaviors with Data-Driven Paradigms
- NVIDIA's Use of Foundation Models and Simulation Technologies
**Timestamps:**00:00 "Autonomous Vehicles: A Reality?"
04:52 Autonomous Vehicles: Emerging Consumer Reality
08:53 NVIDIA Expands Partnership in Physical AI
13:00 Advancements in AI and Simulation
15:40 Generative Simulation for Autonomous Vehicles
17:15 Autonomous Vehicle Technology Challenges
23:17 Adapting to Autonomous Vehicle Data
24:06 "Data-Driven Bias in Autonomous Vehicles"
27:53 Key Announcements in Vehicle Autonomy
**Keywords:**Everyday AI Show, autonomous vehicles, NVIDIA GTC conference, AI advancements, autonomous driving, robotic systems, safety principles, Tesla autopilot, simulation technology, Internet pretrained models, generative AI, simulation to realism gap, hardware and software tools, NVIDIA Pride, sensor systems, driver assistance systems, GM partnership, physical AI, humanoids, space vehicles, self driving technology, operational design domains, data-driven paradigm, training data, simulation scenarios, Cosmos pla
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