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[last updated: 2024-04-12]
neural nets
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in AI systems,
the system "discovers" or "learns" its own algorithms,
by processing "test" data sets, for which the correct/desired outputs are also known.
As a result, AI computer systems tend to be more complex than conventional systems.
Their actual algorithms, to the extent that they are even known, can be significantly more complicated than standard systems.
The data sets they can work with are also typically more complicated, in that there are more inter-relations between parameters.
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