2nd Annual Machine Learning in Solid Earth Geoscience Conference; Santa Fe, New Mexico, 18–22 March 2019
machine learning & AI
Posted inEditors' Highlights
Removing the Drudgery from Earthquake Seismology
New methods of machine learning are bringing the phase arrival time and polarity picking used for automatic determination of earthquake fault planes to accuracies better than human analysists.
Posted inScience Updates
Space Weather in the Machine Learning Era
Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017
Posted inResearch Spotlights
Using Microbes to Predict the Flow of Arctic Rivers
Bacterial DNA provides a good estimate of river discharge.
Posted inEditors' Vox
Deep Learning: A Next-Generation Big-Data Approach for Hydrology
What can Artificial Intelligence offer hydrologic research? Could deep learning one day become part of hydrology itself?
Posted inResearch Spotlights
Next-Generation Climate Models Could Learn, Improve on the Fly
Scientists propose development of new models that use machine learning techniques to reduce uncertainties in climate predictions.
Posted inOpinions
Three Steps to Successful Collaboration with Data Scientists
A step-by-step cartoon guide to efficient, effective collaboration between Earth scientists and data scientists.
Posted inResearch Spotlights
Efficiently Predicting Shallow Landslide Size and Location
New mathematical approach lets researchers analyze potentially unstable slopes in three dimensions without testing every possible landslide shape.