Climate change solutions inspired by nature

A promising strategy to strengthen climate resilience is through NBSs (nature-based solutions). Inspired by nature, NBSs tackle challenges caused by climate change while also providing environmental, social and economic benefits ...

Comparing machine learning models for earthquake detection

Machine learning is transforming data-heavy fields across the sciences, and seismology is no exception. Several machine learning methods have emerged for earthquake detection, phase identification, and phase picking. However, ...

Capturing all that glitters in galaxies with NASA's Webb Telescope

Spirals are some of the most captivating shapes in the universe. They appear in intricate seashells, carefully constructed spider webs, and even in the curls of ocean waves. Spirals on cosmic scales—as seen in galaxies—are ...

2021 was one of the seven warmest years on record

2021 was one of the seven warmest years on record, according to six leading international datasets consolidated by the World Meteorological Organization (WMO), despite average global temperatures being temporarily cooled ...

Machine learning algorithms help scientists explore Mars

NASA's Curiosity rover has been exploring the Red Planet's surface for nearly a decade, with its main mission being to determine whether Mars was once habitable. While the rover's investigations have indeed confirmed that ...

Using sparse data to predict lab quakes

A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...

The paradox of big data spoils vaccination surveys

When Delphi-Facebook and the U.S. Census Bureau provided near-real time estimates of COVID-19 vaccine uptake last spring, their weekly surveys drew on responses from as many as 250,000 people.

page 9 from 26