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Thank you, I will have a look. Just out of curiosity, what do you mean by 'uncertain' in this context?

Errors in precision and accuracy.

Hmm... there is no doubt about the sensor input, the elephant is there. The issue is with precision and accuracy of the model itself.

Edit: I need to rephrase, the interesting case for me ( and the one the article is describing) is when the model fails with accurate input data due to assumptions that are intrinsic to the model itself.

Optical sensors don't have anywhere near the dynamic range of a retina. I think poor low light performance has been implicated in at least one self-driving crash. Eyes can at least render objects and shapes in extreme low light even if the brain doesn't have enough information to identify them. The tiny sensors in a camera compact enough to be practical still have a long way to go.

There are doubts in both, frankly.

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