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

This is a very important piece of technology in simulation where we have collected data from the field

But we can use neural reconstruction sometimes to fuzz the data to change the background or change the car trajectory.

We can basically generate a lot of variants of the same data.

And all these data, again, they need a computer, obviously, to generate these kind of millions

tens of millions of data, and we can share with everybody who's engaged in our ecosystem.

And in this way, collectively, from all the players that are engaged with the Drive ecosystem, we can catch up on the data gap, which is very important.

Both are absolutely true.

And actually, the cost saving is enormous.

Basically, data collection, running a fleet of huge size, essentially, it's a big, I would say, capital spending for anybody who wants to do that.

And also it's kind of repetitive as well.

If you can find, for example, what we provide in the Drive platform or the Drive ecosystem, it can save a lot of effort and basically money from our customers.

Well, the approach we take right now for what we call the L2++, essentially, is mapless, as you said correctly.

So basically, the model will definitely need more data to cover more corner cases.

And the model is obviously getting bigger

as we speak as well, basically, you know, for this generation, next generation, we are going to use a much bigger model with more parameters.

And also foundation models will play a big role here.

And, you know, being able to make this model very capable, essentially, you know, more data is very, very critical.

But on the other hand, though, the trend of using foundation model, which is already trained with internet data,

that can help, can be help as well.

That's why I emphasized

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