Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction
In earthquake-prone areas like Japan, there is a need for better prediction of soil stability to mitigate liquefaction risks. Towards this end, researchers have used machine learning models, including ...
The study identifies responsible AI as being most visible in conceptual and policy-oriented research, addressing issues such ...
Urban life increasingly depends on intelligent systems, because they manage both infrastructure and public services. For example, traffic lights adjust in real time to optimize flow, energy grids ...
In addition to reducing latency, edge storage solutions help keep bandwidth costs in check by filtering and processing data locally. The other, equally critical aspect, is data security. Since edge ...
Easier multi-device coordination: RISC-V facilitates better coordination among multiple edge devices through its open ...
When it comes to simple ways to drastically improve efficiency, it is tough to beat a smart system that has integrated machine learning. Capable of improving even older appliances with no ...
Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction
The AI-based model proposed by researchers from Japan provides detailed soil stability maps, allowing smart cities to identify safe construction zones and mitigate liquefaction risks. The proposed ...
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