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NVIDIA DRIVE
@NVIDIADRIVE
Transforming the automotive industry and the future of mobility with AI and accelerated computing.
Joined August 2016
199 Following    19.9K Followers
Join @nvidia 's Matt Cragun and @sophiadew as they discuss how reasoning-based AI, like Alpamayo, is tackling the rare, unpredictable edge cases that have long challenged autonomous vehicles and robotaxis.
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NVIDIA's Matt Cragun on why self-driving has been perpetually 5 years away for the last 12 years and the long tail problem NVIDIA is finally solving: "Self-driving cars have been perpetually five years away for the last twelve years or however long it's been. The real challenge for everybody is how do you take care of what we call the long tail. The things you don't experience very often on the road but typically are the things you worry the most about." "The benefit of having a really large model, especially Alpamayo, it's been trained as a reasoning model. Not only does it see what you see or have perception, it also is able to think about how it should behave or what it should do." "Using the reasoning capability allows us to solve challenges that we wouldn't be able to solve with just a rule-based system. Being able to solve the long tail is really what we're trying to tackle. That's really the problem that everybody in AV is working on." "As we work further through that long tail of events, we get more and more confidence in the technology that we can deploy in a way that's safe." @nvidia
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