AI Enhances Prediction of Soil Liquefaction Risks for Urban Resilience

Researchers develop advanced AI model to create comprehensive soil liquefaction risk maps, aiding smart city planning and infrastructure development.

The Shibaura Institute of Technology in Japan has created an AI model to predict soil liquefaction risks with high accuracy.
This model integrates machine learning techniques with geotechnical and geographical data.
The AI-generated risk maps are more comprehensive than existing maps, incorporating additional variables.
These maps are designed to assist urban planners and engineers in identifying high-risk areas and making informed infrastructure decisions.
The approach aims to improve urban resilience to natural hazards, particularly in earthquake-prone regions.