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AI is playing a key part in reshaping and developing businesses, and in improving people’s daily lives. Different concepts, tools and technologies that use algorithms—such as blockchain, machine and deep learning, natural language processing, generative AI, etc.—are beginning to show exciting possibilities that will support and optimise human intelligence. If guided by an ethical and responsible approach, this field can offer numerous rewards.

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Orange is developing secure and streamlined generative AI for its employees

• Companies are finding many applications for generative AI.
• To unlock the full potential of these technologies, we must make them easy for employees to embrace and ensure that they are used in a controlled environment.
• At Orange, a secure generative AI tool based on the most powerful solutions on the market is showcasing this approach and transforming practices, and it is being adopted at an unprecedented rate.
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décryptage de la lettre de Charles Quint - Cécile Pierrot à la bibliothèque
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AI provides a wide range of new tools for historical research

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Learning with AI

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An individual in a lab coat and protective glasses holds a microprocessor in their gloved hand. The setting is bright and modern, suggesting a research or technology development laboratory.
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Algorithmic biases: neural networks are also influenced by hardware

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Multimodal learning / multimodal AI

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Three people are collaborating around a laptop in a modern office environment. One of them, standing, is explaining something to the two seated individuals, who appear attentive. On the table, there is a desktop computer, a tablet, and office supplies. Plants and desks are visible in the background.
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FairDeDup limits social biases in AI models

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A woman stands in a train, holding a phone. She is wearing a beige coat and a blue and brown scarf. The interior of the train is bright, with seats and metal support bars.
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A mathematical model to help AIs anticipate human emotions

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