Deep learning

Geology, geoarchaeology, forensic science: AI reveals history in grains of sand

● Geologists have long used electron microscopes to examine patterns in grains of sand that show how they were transported (wind, waves etc.), a laborious task that often results in subjective conclusions.
● At Stanford, Mathieu Lapôtre and his team have developed SandAI, an artificial intelligence model to automate much of the analysis required to determine the geological origin of rocks, which has demonstrated 90% accuracy in testing.
● SandAI could also be used in geoarchaeology to identify the origin of materials moved by humans, and in forensic science, notably in the drive to combat illegal sand mining.
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A man is crouched on bare ground, holding an object in the air with one hand and a pencil in the other. Next to him, an open laptop suggests he is focused on his outdoor research work.

Fine-tuning brewing and recipes: how AI can improve the taste of beer

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Flooding: how machine learning can help save lives

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décryptage de la lettre de Charles Quint - Cécile Pierrot à la bibliothèque

AI provides a wide range of new tools for historical research

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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.

Algorithmic biases: neural networks are also influenced by hardware

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Multimodal learning / multimodal AI

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