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 ...
In this video from the Global Tech Jam 2018 conference on Smart Cities, Santi Adavani from RocketML describes how the company’s innovative software speeds Machine Learning. To find the best model for ...
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 ...
CAMBRIDGE, Mass.--(BUSINESS WIRE)--InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, today ...
Increasingly, technology isn’t just impacting our workplaces and personal lives—it’s being leveraged across entire cities to improve and enhance a variety of public services and functions. These ...
"The limits of our design language are the limits of our design thinking". Patrik Schumacher's statement subtly hints at a shift occurring in the built environment, moving beyond technological ...
Why it matters: Google is designing an operating system for embedded applications that runs machine learning algorithms. KataOS' main targets are security and privacy protection, working with open ...
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