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 E-Mail IMAGE: Visualization of the percentage of a building's repair cost to its replacement value after a magnitude 7.0 earthquake in San Francisco. view more  Credit: Chaofeng Wang, SimCenter, UC Berkeley Artificial intelligence is providing new opportunities in a range of fields, from business to industrial design to entertainment. But how about civil engineering and city planning? How might machine- and deep-learning help us create safer, more sustainable, and resilient built environments? A team of researchers from the NSF NHERI SimCenter, a computational modeling and simulati...

May 19, 2021 Scientists are using data from Google Maps and satellite images to power artificial intelligence applications that can automatically identify characteristics of city’s buildings that would be vulnerable in an earthquake, hurricane or tsunami. Researchers from the National Science Foundation’s SimCenter, an engineering community focused on modeling the impact of natural hazards, built the Building Recognition using AI at Large-Scale suite of tools. BRAILS creates enhanced building databases for cities by running artificial intelligence-powered simulations on high-performance c...