Scientists could use machine learning to analyze atmospheric samples in order to help identify microbes on frozen moons. They’re testing the concept using bottles of brine and smelly bacteria.
machine learning & AI
Posted inEditors' Highlights
Listening to Groundwater Dynamics
Deep learning from shallow passive seismic data reveals groundwater table depth information in space and time.
Posted inEditors' Vox
Particulate Pollution and its Climate Impacts During the COVID-19 Pandemic
The impacts of COVID-19 on short-lived pollutants highlight the predominant influence of the transportation sector and the resulting changes in regional climates and ecosystems.
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Mercury’s Hollows may be Young and Active
The first machine learning-derived global-scale survey of Mercury’s hollows suggests they are young features that may be active and will continue to evolve.
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Fast Adept Sea Ice Forecasts
Artificial intelligence facilitates an efficient, skillful surrogate of a coupled Arctic sea ice prediction model using generative diffusion.
Posted inEditors' Vox
Listening to Earth’s Subsurface with Distributed Acoustic Sensing
A new book examines how fiber-optic cables installed in boreholes can monitor seismic activity, fluid flow, subsurface temperatures, and more.
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Machine Learning Enhances Image Analysis in Biogeosciences
Machine learning can enhance our ability to identify communities of microorganisms and how they change in response to climate change over time.
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Unlocking the Power of Synthetic Aperture Radar for Geosciences
Due to its unique ability to monitor Earth’s surface, Synthetic Aperture Radar plays a pivotal role in revolutionizing the geosciences.
Posted inEditors' Vox
What’s On the Horizon for Open Access Geoscience Books?
On the first anniversary of their partnership, AGU and the Geological Society of London reflect on the GeoHorizons series and why open access books are valuable for the geoscience community.