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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.

AI's environmental footprint: understanding, measuring, acting

Artificial intelligence (AI) has fascinating capabilities, but crucial questions surround its environmental impact.
In order to more accurately identify its impact, we need the ability and knowledge to measure it. That is no small task. Moreover, there are as-yet-unresolved challenges in researching AI’s energy consumption. Generative AI sets itself apart from other digital services by the significantly greater computing power it requires: for instance, the training of models can take several weeks and involve tens of thousands of GPUs.
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Digital technology for carbon farming in Africa

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A user-centred approach for field engineers

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A custom methodology to “activate” sustainable business models

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Customer engagement in the digital age: how to activate and anchor it

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AI growth and global electricity production: incompatible?

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Citizens speak up about the networks of tomorrow: towards a responsible digital system

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