By positioning water security as one of the “most challenging problems of this century,” the Genesis Mission can become the sandbox in which AI reshapes how the United States measures, models, and manages water.
machine learning & AI
Posted inResearch Spotlights
How to Study Coastal Evolution
Researchers reviewed what’s known about how coastlines are changing and made recommendations for how to learn more.
Posted inEditors' Highlights
Machine Learning Can Improve the Use of Atmospheric Observations in the Tropics
Scientists develop a novel machine learning-based technique that is equally effective in gaining information from observations about the unobserved state variables in the midlatitudes and tropics.
Posted inEditors' Vox
Synergistic Integration of Flood Inundation Modeling Methods
Recent flood modeling advances are trending into silos that compete rather than complement each other, hampering the opportunity for transformative progress toward protecting lives and communities.
Posted inEditors' Highlights
Machine Learning Could Enhance Earth System Modeling
Based on tests of a machine learning-based (ML) hybrid model, combining ML with established physics-based frameworks represents a promising path toward developing ML-based Earth system models.
Posted inEditors' Highlights
Taming the Seismicity Tsunami with a Scalable Bayesian Framework
By combining the power of artificial intelligence with advanced physics simulations, a new framework called “SPIDER” allows us to map seismic activity with unprecedented clarity.
Posted inEditors' Highlights
The Multi-Faceted Water Footprint of Data Centers
Data centers powering artificial intelligence consume significant amounts of water, highlighting the need for greater transparency regarding water use in both existing and planned facilities.
Posted inEditors' Highlights
Collinearity is Not Always a Problem in Machine Learning
Collinearity is not always a showstopper for statistical machine learning (at least not for self-organizing maps).
Posted inNews
Oozing Gas Could Be Making Stripes in Mercury’s Craters
Scientists are using new computational tools to analyze troves of old spacecraft data to better understand one of Mercury’s unsolved mysteries.
Posted inEditors' Highlights
Monitoring Ocean Color From Deep Space: A TEMPO Study
Scientists apply machine learning to demonstrate that geosynchronous satellites can be used to assess the health of oceans from deep space.