But maybe you could just set the scene by telling us a little bit about where do we actually use AI in cars today and how do we expect that to evolve over the next few years?

Okay, so there are many uses already for AI in the car.

To start with the basics, perception and ADAS.

AI detects lanes, vehicles, pedestrians for autonomous driving.

The detection really needs to be in milliseconds, so it has to be done locally in the car.

What we use is an onboard deep neural network.

over SoCs or GPUs that are used inside the car in order to do the detection, the classification and the tracking of the objects, while the training for this neural network is done in the cloud.

So the zonal is more like maybe there are four, five, six zones in the car versus the domain is more like a system, like a tire system or something like that, right?