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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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An industrial maintenance solution combining AI, a 5G private network and IoT

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Open RAN now ready for large-scale deployment

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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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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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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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