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Discover our articles that showcase ideas, opinions and perspectives—of different players, experts and stakeholders from every ecosystem—on the greatest advances in research and innovation.

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• In France, AI and cryptography experts working on Inria’s Back In Time project are unlocking the secrets of encrypted historical documents that will soon be accessible to researchers.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
In a bright, modern office, a group of four people is engaged in a brainstorming session. A man is writing on a whiteboard, while three others, seated around a wooden table, are discussing and looking at a laptop. Colorful sticky notes are visible on the board. The space is decorated with colorful curtains and hanging lamps, creating a dynamic and collaborative atmosphere.

Launching new technologies: “Sometimes it’s better to wait for the right moment”

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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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Two individuals sitting on a couch, playing video games. One is holding a game controller, focused on the screen, while the other appears to be giving advice or sharing strategies. The setting is modern and bright, with a kitchen visible in the background.

Video games : a study documents beneficial effects on mental health

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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).

“Biohybrid robotics needs an ethical compass”

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Datascore: a simple digital trust rating for connected environments

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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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