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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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Keeping watch on the carbon footprint of machine learning

● In view of its electricity consumption and massive number of users, the global digital environment is now a significant generator of greenhouse gases.
● The complex task of evaluating its carbon footprint has become a specific focus for academic research.
● The vast amount of power demanded by statistical learning methods in artificial intelligence has made this issue all the more urgent.
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Machine learning to combat ocean plastic pollution

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Green and Local Energy Exchanges and Optimizing Network Consumption

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GettyImages - Hexa-X-II
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Hexa-X-II: the European flagship project leading the way towards a sustainable 6G

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The support work of the digital transformation

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The professional training face to the virtual reality

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GettyImages - ChatGPT
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Is ChatGPT a human-like conversational agent?

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