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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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Explainability of artificial intelligence systems: what are the requirements and limits?

• Faced with the human and social challenges associated with machine learning techniques, it is essential to understand what explainability entails and its requirements, as well as the legal obligations and limitations surrounding it.
• Work on these subjects has taken on considerable importance given the human and social risks posed by the use of machine learning techniques, in particular deep neural networks or, more recently, large language models.
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Far far edge: The opportunities and challenges

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Rob Wood (Harvard / CETI), deploying a drone in Dominica 
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An AI to predict where sperm whales will surface

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Researchers have developed a kirigami-inspired mechanical computer with no electronic components.
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IoT and soft robotics: is mechanical computing making a comeback?

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Collective self-consumption of energy: Building renewable, local, and shared energy

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Institutional funding and interpersonal solidarity in Senegal

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Mobile money: an alternative to a bank account for small businesses in Senegal?

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