A deep learning approach to classifying buildings with wildfire damage may help responders focus their recovery efforts and offer more immediate information to displaced residents.
Stanford professors develop and use an AI teaching tool that can provide feedback on students’ homework assignments in university-level coding courses, a previously laborious and time-consuming task.
Researchers examined the number of households unable to pay for damages from coastal flooding to reveal how sea-level rise could threaten the fabric of Bay Area communities over the next 40 years.
By 2050, more than 70 percent of the world’s population will live in cities. Stanford Natural Capital Project researchers have developed software that shows city planners where to invest in nature to improve people’s lives and save billions of dollars.
Researchers have detected groundwater beneath a glacier in Greenland for the first time using airborne radar data. If applicable to other glaciers and ice sheets, the technique could allow for more accurate predictions of future sea-level rise.
Medical devices employing AI stand to benefit everyone in society, but if left unchecked, the technologies could unintentionally perpetuate sex, gender and race biases.
Researchers have deciphered a trove of data that shows one season of extreme melt can reduce the Greenland Ice Sheet’s capacity to store future meltwater – and increase the likelihood of future melt raising sea levels.
