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Video: https://www.youtube.com/watch?v=7jS4AuPnmyg https://www.youtube.com/watch?v=7jS4AuPnmyg "Audi and NVIDIA developed an Audi Q7 piloted driving concept ve
by lucidrains 10y ago
Video:
https://www.youtube.com/watch?v=7jS4AuPnmyg https://www.youtube.com/watch?v=7jS4AuPnmyg
"Audi and NVIDIA developed an Audi Q7 piloted driving concept vehicle, which uses neural networks and end-to-end deep learning. Demo track at CES 2017 in Las Vegas."
- remir 10y agoI wonder how it compares to Tesla Vision.
- deleted 10y ago[deleted]
- dangrossman 10y agoThey are one and the same, no? http://www.nvidia.com/object/tesla-and-nvidia.html http://www.nvidia.com/object/tesla-and-nvidia.html
- remir 10y agoTesla made their own software: The computer delivers more than 40 times the processing power of the previous system, running an Tesla-developed neural net for vision, sonar, and radar processing
- dangrossman 10y agoEvery customer of Nvidia's solution "develops their own neural net" by feeding their own set of sensor data into Nvidia's training platform, then using the resulting neural net on Nvidia's hardware in the cars. Did Tesla not do that, the same way Audi did here, and Nvidia themselves did for BB8? Everyone's going to be adding some software on top of that for the UI and UX they want to offer and such. Did Tesla do more than that? Your quote doesn't actually suggest they did.
- PeterisP 10y agoThe neural net is 99% of the work - if all they share is a particular GPU model, but each have "their own" neural net made on their own training data, then you can pretty much treat it as a completely separate, different system. The quality and performance of the system is mostly determined by the data, not the raw computing power, so it's worth comparing them as they can be very different.