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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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Enhanced cybersecurity, better AI models… the tantalizing potential of QML

● The encoding of data in quantum states sets apart Quantum Machine Learning (QML) from conventional machine learning (ML).
● QML has the potential to revolutionize cybersecurity and the detection of threats (such as malware) and to facilitate faster and more cost-effective AI training that makes use of smaller datasets.
● In the future, cybersecurity may soon be enhanced by hybrid systems that combine conventional ML and QML, explains Grégoire Barrué, a researcher in AI and Quantum AI for Cybersecurity at Orange.
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Research team working together in a laboratory, discussing data displayed on screens.
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AI's environmental footprint: understanding, measuring, acting

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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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