Deep learning

AI provides a wide range of new tools for historical research

• The development of MapReader, a computer vision tool for the semantic exploration and processing of historical maps, is just one of many initiatives taking advantage of new possibilities afforded by artificial intelligence (AI) in historical research.
• In France, AI and cryptography experts working on Inria’s Back In Time project are unlocking the secrets of encrypted historical documents that will soon be accessible to researchers.
• Innovation made possible by AI is accelerating the pace of research in human sciences and encouraging researchers to rethink methods used for the analysis of historical sources.
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décryptage de la lettre de Charles Quint - Cécile Pierrot à la bibliothèque
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.

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.

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.

A mathematical model to help AIs anticipate human emotions

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David Caswell: “All journalists should be trained to use generative AI”

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