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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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A User-Centred Approach to AI Explainability

Let’s imagine that your doctor uses AI for your diagnosis. They may need to understand how the AI arrived at a certain conclusion — in other words, it must be explainable. User-centred design is a highly pertinent approach to achieving explainability. Learn more about this approach in this article.
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How to make AI explainable?

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

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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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