Machine learning

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

• In Australia, an AI researcher has helped a major brewer to optimize production parameters to improve the quality of its beers.
• The AI evaluates 36 key factors including temperatures, malt types, and alcohol levels to predict the quality of beers before they are produced.
• In Belgium, researchers analysed big data on the flavour and consumer appreciation of 250 beers to create predictive models that take into account more than 200 chemical properties.
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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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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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