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When one of NASA's sun-studying satellites went down, AI was there to fill in the gaps

Anonymous Coward
Anonymous Coward

I think you've very much missed the point -

The neural net was trained on outputs from both sensors on the craft when they were working, to identify potentially complex correlations between them (if a million parameters are involved) that could not have been guessed without the ground truth of 2 years of concurrent data.

In other words they can only guess at the sensors outputs now because the really had the sensor working before. It wasn't a waste to send it up in the first place.

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