A first usage of principal component analysis on Hubble images of Jupiter’s auroral ovals reveals the most common patterns, and machine learning classification reveals their physical causes.
machine learning & AI
Posted inResearch Spotlights
Forecasting Volcanic Eruptions with Artificial Intelligence
A machine learning algorithm automatically detects telltale signs of volcanic unrest.
Posted inFeatures
Machine Fault
Applying machine learning to subtle acoustic signals from an earthquake machine has revealed big clues about fault behavior in the lab.
Posted inNews
Computers Tease Out Secrets of Jupiter’s Aurorae
Aurorae once classified by human eyes are now being sorted by machines. The change may help astronomers understand how the mysterious features are powered.
Posted inNews
Virtual Super Instrument Enhances Solar Spacecraft
The same algorithms that help control self-driving cars and speech-to-text functionality have helped build a virtual instrument to study the Sun.
Posted inEditors' Highlights
Machine Learning Improves Satellite Rainfall Estimates
A new deep learning approach bridges ground rain gauge and radar data with spaceborne radar observations of Tropical Rainfall Measuring Mission to improve precipitation estimation.
Posted inOpinions
Thoughtfully Using Artificial Intelligence in Earth Science
Deriving scientific insights from artificial intelligence methods requires adhering to best practices and moving beyond off-the-shelf approaches.
Posted inNews
Artificial Intelligence May Help Predict El Niño
Deep learning techniques give scientists the longest–lead time forecasts yet.
Posted inNews
Finding Faces in Hailstorms
Machine learning technology helps scientists recognize severe weather patterns.
Posted inNews
Artificial Intelligence Can Spot Plankton from Space
Training an algorithm with satellite images of ocean color reveals the blooms and busts of phytoplankton communities.