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UMR MIA-PS and Agrial
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Semantic Space STNs reveal that training on real labels leads to more efficient learning dynamics, contrasting sharply with the effects of label randomization.
Network operators can now proactively scale resources with confidence, thanks to a digital twin that accurately predicts performance in previously unseen high-load scenarios.