Wewe uses machine learning and some more rules based oma, so that is validatable and verifiable. Her approach is to use deep nets, but also to am use probabistic inference and complex optimization. This allows for a much faster, um, simplistic in a way, but faster, way to scale. And they will still have physical fleet on the road to do testing, but it's not as heavily reliant on that.

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