The prediction of future wireless traffic volumes using artificial intelligence (AI) would allow communication systems to automatically adjust network resources to maximize reliability. KAUST researchers have now developed a more accurate "dual attention" prediction scheme that minimizes the volume of prediction data that needs to be transferred across the network.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2WLA6aq
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Predicting wireless traffic using AI could improve the reliability of future wireless communication
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