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AI Training for Self-Driving Vehicles

Autonomous vehicles fueled by artificial intelligence (AI) will revolutionize the $10 trillion transportation industry. AI gives cars and trucks the power to see, think, and learn, so they can safely navigate the nearly infinite range of possible driving scenarios. Properly scaling the AI infrastructure in your data center is critical to delivering safe autonomous vehicles to the market.

In this webinar, we discussed the key considerations in selecting the optimal AI infrastructure required to train deep neural networks for safe self-driving systems. Specifically we covered:
  1. Understanding the data requirements and computing performance needed to solve self-driving challenges
  2. Using NVIDIA DGX-1™ as a building block for deep learning training for autonomous vehicles
  3. How Zenuity is using AI technology to enable their researchers and data scientists to make autonomous vehicles smarter and safer
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Presented By
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Tony Paikeday
Director of Product Marketing, Deep Learning Systems, NVIDIA

Tony Paikeday is the director of Product Marketing for Deep Learning Systems at NVIDIA, with responsibility for NVIDIA DGX systems — the world's first portfolio of AI supercomputers for the enterprise. Tony was previously with VMware, where he managed product marketing for the Horizon 7 portfolio and focused on key enabling technologies, including GPU virtualization and the software-defined data center. Tony holds an engineering degree from the University of Toronto.
 
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Norm Marks
Global Director, Automotive Industry BD, NVIDIA

Norm Marks leads the global automotive industry enterprise go-to-market strategy at NVIDIA. He is focused on establishing areas of application for how deep learning, data science and artificial intelligence — enabled by GPU computing — will transform the automotive and transportation industries. Norm earned his Bachelor of Science in business administration from Bowling Green State University and completed the rigorous Executive Management Program at Stanford’s Graduate School of Business.
 
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