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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.

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How to avoid replicating bias and human error in LLMs

AI systems can replicate human bias. This has become amplified with the rise of large language models. This article explores how to assess and mitigate this bias to allow for fairer systems.
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Two people are seated in front of a computer, discussing a project. Spools of thread are visible on the table.
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Understanding the general public’s perception of online risks: beyond official definitions

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Artificial intelligence in the demanding world of customer relations

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Combining Clustering and AI for Congestion-Free Mobile Networks

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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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