Great talk. I thought their approach to rain sensors was interesting. The vision AI wiper function seems like overkill when a different system is capable of p

Great talk. I thought their approach to rain sensors was interesting. The vision AI wiper function seems like overkill when a different system is capable of performing it almost flawlessly. I'd guess that the AI has a dedicated circuit though and becomes upgrade-able.. so those are pluses. But the rain AI system is a good test case and learning task for both the humans and the AI. Hypothetically, if you can't recognize rain drops, how can you recognize cars? It sounds like they learnt a lot trying to make that function so hopefully a lot of the knowledge in building that system generalized/translates over to the rest. Besides that, modularity is an important design principle. It would be interesting to see how people combine different NN modules and integrate them with 1.0 code. Do you have a NN 2.0 controller? Some kind of self learning system that you train? I would imagine you'd want to take feedback into account at some point probably in Bayesian way.