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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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A person checks their heart rate on a smartwatch while holding a smartphone. The setting is natural, with trees in the background.

Wireless Power Transfers: ERWPT breaks new ground with electric fields

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Crowdsourcing cacatoès

Smartphone data to map the outer atmosphere and monitor urban wildlife

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Machine learning for intuitive robots that are aware of their environment

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Rob Wood (Harvard / CETI), deploying a drone in Dominica 

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.

IoT and soft robotics: is mechanical computing making a comeback?

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