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Osmo: artificial intelligence learns to recognize smells

• Building a digital odour sensor, along the lines of a computer vision or speech recognition system, is an extremely complex task.
• A research project undertaken by the start-up Osmo, with support from Google, has recently broken new ground using a machine learning based on graph neural networks (GNNs).
• The new approach has led to the creation of a predictive model that can map molecular structure to odour descriptors.
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Optimal Mobile Coverage with Data and AI

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Limiting the Carbon Footprint of AI

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Desalinization projects supervised by IoT

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More Sustainable Urban Logistics Using Digital Twins

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A drone that can sniff out forest fires before they generate visible smoke

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Beyond the Turing test: AI still falls short when faced with challenges easily overcome by humans

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