Using machine learning to build safer cities
The Quick Take
In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A new study published in Scientific Reports has found that urban development activities, including road construction, property development and vegetation loss, are significantly increasing landslide susceptibility across parts of eThekwini.
Ground Level News aggregates headlines from public feeds. This page shows a short summary only; the full article and all rights belong to Phys.org - latest science and technology news stories.
Related
Science
New X-ray method isolates faint signals from water at material surfaces
A research team from Toyohashi University of Technology, the Institute for Molecular Science and the Institute of Science Tokyo, led by Yu Kinjo and professor…
Science
New travel tool combines three algorithms to tailor destination recommendations
Researchers have developed a tourist recommendation system combining three algorithms to help travelers find destinations suited to their preferences, budgets…
Science
NASA's new UV space telescope will launch in 2031
Most of us could spend our entire lives looking at the night sky and see very few changes. The moon becomes more or less illuminated, the planets drift…
Local
Study: Partisan ties shape how voters view campaign AI
As political campaigns increasingly use artificial intelligence to communicate with voters, questions arise about how the technology influences perceptions of…