Zhenzhu (Jinzhu) Wu

speaker

420 appearances 1 recordings 1 series first heard Jul 2026 last heard 13 Jul

Zhenzhu (Jinzhu) Wu’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Decoder with Nilay Patel · Yes, even Nvidia's head of automotive is fighting for compute · 13 Jul 2026 podcast

quite a few times on the connection with the foundation model effort inside NVIDIA.

You know, with the reasoning model and the foundation model, these are the things that we can leverage from the, let's say, the frontier model perspective and leverage internet to basically kind of scale data to be able to help the vehicle to generalize better even without the vehicle specific data.

So this is one of the, you know, I would say the main direction we are betting on towards, let's say, higher level of autonomy, especially level four.

This is one of the main work thread, you know, we are focusing on right now.

And back to OEM, I think being able to...

uh leverage basically you know what we have built upon through our collaborations with the existing basically engagement and our massive capability of basically data generation using synthetic data set and the neural reconstruction

and also being able to leverage the foundation model capability, which are trained from more general data, but which will help the model to reason better, to generalize better.

These are the things we can offer to our customers.

Safety is so important to us and obviously so important for the AV industry.

So let me answer your question from our kind of approach in different layers of our offering.

So to address safety, this is obviously not new for the auto industry.

And we have developed very sophisticated, basically, even development protocol

and also validation protocol to be able to prove the software is safe.

All right.

That's called ISO 26262.

And, you know, we actually developed our hardware and operating system OS level software and application level software

you know, to the highest standard, which was very important, which is very critical to be able to deploy anything, you know, to drive the car.

That's number one.

And number two is basically, we take a slight different approach than some of the, you know, players in this space.

We are actually have a redundant stack, even for our L2++ or ADAS basically function.

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