computing

AI system identifies buildings damaged by wildfire

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.

AI tool streamlines feedback on coding homework

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.

Designing sustainable cities

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.

Airborne radar reveals groundwater beneath glacier

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.

Fine-tuning the color of light

A new sort of optical device allows engineers to change the frequencies of individual photons, putting new capabilities in engineers’ hands.

Can extreme melt destabilize ice sheets?

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.