Machine 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• In France, AI and cryptography experts working on Inria’s Back In Time project are unlocking the secrets of encrypted historical documents that will soon be accessible to researchers.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

Multimodal learning / multimodal AI

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Soft Robotics Lab – ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

When will we see living robots? The challenges facing biohybrid robotics

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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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