Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017
machine learning & AI
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 inScience Updates
A New Tool for Deep-Down Data Mining
GeoDeepDive combines library science, computer science, and geoscience to dive into repositories of published text, tables, and figures and return valuable information.
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 inNews
Algorithm Discerns Where Tweets Came from to Track Disasters
New pilot system that analyzed more than 35 million flood-related Twitter posts to determine their geographic origin might help first responders locate and react more quickly to calamities.
Posted inNews
Mapping Dengue Fever Hazard with Machine Learning
Researchers develop a predictive software system to identify city-specific, dengue fever risk areas amid a global increase in cases.
Posted inScience Updates
Closing the Pacific Rainfall Data Void
A new climatology tool uses satellite data to map precipitation in a data-sparse region of the Pacific Ocean.
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.