Machine learning

Open science: the principles and tools of more accessible and efficient science

Open science is the largest possible dissemination of the publications and data from both public and private research. This approach aims to democratize access to knowledge and accelerate scientific discoveries, it relies on the alliance between open access and “FAIR data” (that is findable, accessible, interoperable, and reusable) on the one hand, and the use of machine learning techniques on the other.
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A scientist leading a discussion on Open Science with colleagues in a laboratory.

When AI knows your state of health thanks to the sound of your voice

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Using Blockchain and Machine Learning to Protect Copyrights

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Workers with hard hats in an industrial environment

AI for predictive building maintenance from Sitowie

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Représentation d'un complexe industriel utilisant les technologies quantiques

How could quantum computing help in the fight against climate change?

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Video Compression: A Neural Network Challenging the Conventional Approach

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Self-supervised learning paves the way for a common-sense AI

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