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machine learning & AI

A representation of the “plumbing system” underneath a volcano, with multiple reservoirs at different depths in the crust where magma may be stored.
Posted inEditors' Highlights

Machine Learning Helps See into a Volcano’s Depths

by Paul Asimow 27 April 202215 November 2022

How big might future volcanic eruptions be? Crystals carry information to answer this and machine learning methods can visualize and interpret this multidimensional data.

Illustrations showing the uses of fractures in the subsurface.
Posted inEditors' Vox

Understanding and Utilizing the Fractured Earth

by Hari Viswanathan and Jeffrey Hyman 26 April 20222 August 2022

The prediction of flow and transport in fractured rock is one of the great challenges in the Earth and energy sciences with far-reaching economic and environmental impacts.

Scientists using ground-penetrating radar equipment
Posted inResearch Spotlights

Testing a Machine Learning Approach to Geophysical Inversion

by Morgan Rehnberg 1 April 20221 April 2022

Variational autoencoders can be leveraged to provide an effective method of inversion that is both accurate and computationally efficient.

Maps of time-mean precipitation pattern error for 40-day simulations with three configurations of a global atmospheric model with a coarse 200-km grid.
Posted inEditors' Highlights

Corrective Machine Learning for Improving Climate Models

by Jiwen Fan 15 March 20225 January 2023

A machine-learned correction enables an efficient coarse-grid global atmosphere model to better track the weather and time-mean precipitation of an expensive fine-grid ‘digital twin’ reference model.

A pile of fiber-optic cable sits on a street in New York City with workers in the background.
Posted inFeatures

Distributed Sensing and Machine Learning Hone Seismic Listening

by Whitney Trainor-Guitton, Eileen R. Martin, Verónica Rodríguez Tribaldos, Nicole Taverna and Vincent Dumont 4 March 202214 May 2024

Fiber-optic cables can provide a wealth of detailed data on subsurface vibrations from a wide range of sources. Machine learning offers a means to make sense of it all.

Parka-clad volunteers collecting a meteorite that fell in Antarctica
Posted inNews

Machine Learning Pinpoints Meteorite-Rich Areas in Antarctica

Katherine Kornei, Science Writer by Katherine Kornei 1 March 202227 March 2023

A new algorithm suggests that only a small fraction of meteorites present on the White Continent’s surface have been recovered to date.

A gravel pit near Antofagasta, Chile, with an overlay of waveforms from the Iquique aftershock sequence
Posted inResearch Spotlights

Comparing Machine Learning Models for Earthquake Detection

Kate Wheeling, freelance science writer by Kate Wheeling 24 February 202224 February 2022

A new study evaluated the performance of emerging deep learning models for earthquake detection, phase identification, and phase picking.

Three-dimensional seismic observation with the CO2 reservoir labeled in green
Posted inResearch Spotlights

Neural Networks Can Identify Carbon Dioxide in Seismic Observations

by Morgan Rehnberg 28 January 20222 March 2022

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.

A white seacraft moves through deep green water
Posted inFeatures

A New Mayflower, Named for the Past, Autonomously Navigates the Future

by Alka Tripathy-Lang 24 January 202227 March 2023

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.

An image of lake-floor sedimentary deposits from Mars’s Gale crater
Posted inResearch Spotlights

Machine Learning Algorithms Help Scientists Explore Mars

JoAnna Wendel, freelance science writer and illustrator by JoAnna Wendel 12 January 202224 April 2024

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.

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Voicing Farmers’ Concerns on the Future of Agriculture

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