How MagLev Speeds Autonomous Vehicles to Superhuman Levels of Safety

September 13, 2018

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Most of us don’t think about it when we take the wheel, but the sheer variety of conditions and events we face on our daily drive is staggering.To help manufacturers build self-driving cars able to handle these, NVIDIA announced on Thursday at the Facebook @Scale Conference, in San Jose, Calif., Project MagLev an internally developed AI training and inference infrastructure architected with safety and scalability in mind.We built our AI for autonomous driving, with deep neural networks running simultaneously to handle the full range of real-world conditions vehicles and pedestrians, lighting at different times of day, sleet, glare, black ice, you name it.Implementing the right algorithms to power this AI requires a tremendous amount of research and development. One of the most daunting challenges is verifying the correctness of deep neural networks across all conditions. And it’s not enough to do it once: you have to do so again and again or “at scale” to meet rigorous safety requirements.

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Shark & Ink is a double-jointed project--part passion, part business but entirely flexible. On either side of it lie two rather curious personalities, coming together as one powerful catalyst for the city's nightlife. Shark knows how to get things done, how to tear into the flesh of a project, taking only what's good. Ink, on the other hand, knows how to inject colour into the veins of that same flesh.

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Spotlight

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Shark & Ink is a double-jointed project--part passion, part business but entirely flexible. On either side of it lie two rather curious personalities, coming together as one powerful catalyst for the city's nightlife. Shark knows how to get things done, how to tear into the flesh of a project, taking only what's good. Ink, on the other hand, knows how to inject colour into the veins of that same flesh.

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