Machine 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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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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