Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.
machine learning & AI
Posted inOpinions
Realizing Machine Learning’s Promise in Geoscience Remote Sensing
Machine learning and signal processing methods offer significant benefits to the geosciences, but realizing this potential will require closer engagement among different research communities.
Posted inEditors' Highlights
Combining Deep Learning Methods with Process-based Models
Using turbulent heat fluxes as an example, a new study shows that exchange of information between process-based models and deep learning methods may lead to improved predictions.
Posted inOpinions
Ten Ways to Apply Machine Learning in Earth and Space Sciences
Machine learning is gaining popularity across scientific and technical fields, but it’s often not clear to researchers, especially young scientists, how they can apply these methods in their work.
Posted inScience Updates
A Tectonic Shift in Analytics and Computing Is Coming
Artificial intelligence combined with high-performance computing could trigger a fundamental change in how geoscientists extract knowledge from large volumes of data.
Posted inNews
Eyeing Explosive Ash Clouds from Above and Below
Satellites in the sky combined with computers on the ground detect and track volcanic ash clouds, like those produced by Soufrière St. Vincent in April, in near-real time.
Posted inEditors' Highlights
When Will the Next Failure Be?
Unprecedented images of fracture networks in laboratory scale experiments mixed with machine learning algorithms help predict the timing of the next failure.
Posted inNews
A Promising Forecast for Predictive Science
A new U.S. Geological Survey report outlines how emerging technologies and cross-disciplinary collaborations are expected to empower new tools for managing hazards and resources.
Posted inEditors' Highlights
Using Machine Learning to Detect and Estimate Global Snowfall
Machine learning is used to retrieve global snowfall occurrence and rate from satellite-based passive microwave sounder observations, trained by snowfall data from a high-quality space borne radar.
Posted inResearch Spotlights
Boosting Weather Prediction with Machine Learning
WeatherBench is a data set compiled to serve as a standard for evaluating new approaches to artificial intelligence–driven weather forecasting.