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Combining Clustering and AI for Congestion-Free Mobile Networks

Using clustering reduces the complexity of AI models that predict mobile network congestion. With congestion prediction, carriers are automatically alerted and can resolve problems before they occur, ensuring high quality of service.
In other words, predicting a problem means it can be solved before the quality of Orange network services is affected. AI is one of the keys to achieving this, and the model explored here offers a powerful solution that is ready to be tested in the field.
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Search and rescue: drones that detect human voices under collapsed buildings

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Voice without vocal cords: a machine learning assisted device that enables patients to speak

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Recommendation L.1480 Quantifies All Usage-Related CO2 Impacts, Including the Rebound Effect

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Low-noise innovations: How sounds are contributing to the future of telecoms

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Neurotechnology: auditory neural networks mimic the human brain

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IoT: new energy-efficient chips could expand the scope of artificial intelligence in edge computing

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