Artificial intelligence for disaster risk reduction

Columbia Engineers develop machine-learning algorithm that will help researchers to better understand and mitigate the impact of extreme weather events, which are becoming more frequent in our warming climate.

Two NASA scientists estimate that the Zeus AI model can generate more accurate forecasts faster than U.S. government models such as the High-Resolution Rapid Refresh by the National Oceanic and Atmospheric Administration.

Built from IBM’s collaboration with NASA, the watsonx.ai model is designed to convert satellite data into high-resolution maps of floods, fires, and other landscape changes to reveal our planet’s past and hint at its future.

The Middle East and North African region lose about $13 billion a year because of increasing sand and dust storms. By combining learnings from artificial intelligence and 3000-year-old sustainable methods, researchers might find ways to mitigate damages

In an article published in Physical Review Fluids on April 4th, an interdisciplinary team of French scientists from the CNRS, the CEA, and the Claude Bernard University Lyon 1 unveiled artificial intelligence that can predict heatwaves.

Being able to withstand hurricane-force winds is the key to a long life for many buildings on the Eastern Seaboard and Gulf Coast of the U.S. Determining the right level of winds to design for is tricky business, but support from AI may offer a solution.

There are several ways to increase the reliability of risk maps. These include utilizing onsite monitoring data for model calibration and validation, leveraging local knowledge and information for spot checks, and conducting robust quality control.

The use of artificial intelligence (AI) to help collect, understand and analyze large sets of information has the potential to revolutionize our ability to observe, understand and predict processes in the Earth’s systems.

Iowa: Elderly and low-income residents suffer disproportionately from extreme heat during the summer months, so researchers at Iowa State University are leading an effort to develop innovative tools to better predict when such emergencies might occur.