A new study evaluated the performance of emerging deep learning models for earthquake detection, phase identification, and phase picking.
machine learning & AI
Posted inResearch Spotlights
Neural Networks Can Identify Carbon Dioxide in Seismic Observations
By establishing a machine-driven approach to interpreting seismic observations of carbon dioxide injection, researchers hope to improve tracking of carbon capture and sequestration projects.
Posted inENGAGE, Features
A New Mayflower, Named for the Past, Autonomously Navigates the Future
To commemorate the 400th anniversary of the Pilgrims’ crossing, a ship guided by an AI captain will embark on the same journey, doing science along the way.
Posted inResearch Spotlights
Machine Learning Algorithms Help Scientists Explore Mars
Researchers applied machine learning algorithms to several distinct chemical compositions of Mars and suggest that these algorithms could be a powerful tool to map the planet’s surface on a large scale.
Posted inResearch Spotlights
The AI Forecaster: Machine Learning Takes On Weather Prediction
A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.
Posted inNews
Data from Satellites Help Uncover Exploding Meteors
By using data from two lightning-spotting satellites, researchers measure explosions of thousands of small meteors and create a database that could help the planetary defense community.
Posted inENGAGE, News
Could AI Be Useful for Arctic Communities Facing Sea Ice Loss?
The forecasting tool IceNet promises to be a useful tool for evaluating sea ice loss in the Arctic. But ethical and logistic considerations have to be taken before scientific and Indigenous communities start working together.
Posted inNews
Deep-Ocean Cooling May Have Offset Global Warming Until 1990
New machine learning techniques have estimated ocean temperatures below 2,000 meters, leading to a new model of warming trends.
Posted inOpinions
Training the Next Generation of Physical Data Scientists
Preparing a diverse new generation of scientists who can use artificial intelligence and data science to better understand and predict geoscience phenomena requires revamped training.
Posted inEditors' Vox
When Deep Learning Meets Geophysics
Traditional physical models are no longer the only foundational tools for processing geophysical data; “big data” help to reveal the laws of geophysics from new angles with exciting results so far.