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In a constantly changing world, it is essential for researchers to anticipate the technological developments taking shape and to reflect on the fundamental changes in terms of uses and economic models, and more broadly on changes in society. Research lights our way forward, helping to shape a completely digital but nonetheless entirely human future.

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

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Smart vehicles: new technology beams 3D images of obstacles into drivers’ eyes

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NORIA: Network anomaly detection using knowledge graphs

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“Augmented” Virtual Reality for User Tests

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Network Sharing and Neutral Networks: How Far to Go and for What Benefits?

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FoodProX uses machine learning to detect ultra-processed food

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