AI model predicts soil liquefaction risk for urban planning

phys.org —

Researchers from Japan's Shibaura Institute of Technology have developed an artificial intelligence model to predict soil liquefaction risk, enhancing urban planning in earthquake-prone areas like Yokohama. Published on July 17, 2024, in *Smart Cities*, the model integrates machine learning with geotechnical data, achieving high accuracy in risk assessment. This innovation aims to improve infrastructure resilience amid rapid urbanization and climate challenges.


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AI model predicts soil liquefaction risk for urban planning | News Minimalist