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cowlinator t1_iw1gsj0 wrote

It is analogous tho. We know that this is one of the purposes of sleep in biological brains.

Also, neural net memory is not stored as data in the same way that it is stored on a conventional computer. The memory is in the weights of the model of the network. This is not trivial to "save" or "load". I dont think such a thing has been done before

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empty_string_ t1_iw1j6oi wrote

Data is data. It is trivial to save and load. If you can process it, you can save it.

In machine learning it's not groundbreaking to save a learning set and then start a new one. It's like saving or loading anything else.. The neat thing that it sounds like these people have done (presumably, since no real detail is given), is create some sort of fancy algorithm for deciding HOW and WHEN these different data banks are saved, loaded, and used in relation to one another.

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