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machine learning & AI

Satellite image of a fire in Northern California
Posted inNews

New Eyes on Wildfires

Jon Kelvey, Science Writer by Jon Kelvey 30 April 20192 July 2025

Onboard machine learning and compact thermal imaging could turn satellites into real-time fire management tools to help officials on the ground.

Global map of the dominant cycles in surface partial pressure of carbon dioxide
Posted inEditors' Highlights

Sea-Surface Carbon Patterns Linked to Large-scale Climate Modes

by J. Sprintall 2 April 201927 September 2022

A new 34-year global time series of observed sea surface partial pressure of CO2 links regional variation to major climate modes.

A shallow coral reef at low tide near the Mariana Islands and Guam
Posted inNews

Coral Reef Video Game Will Help Create Global Database

Kimberly M. S. Cartier, News Writing and Production Intern for Eos.org by Kimberly M. S. Cartier 19 December 20187 November 2022

Players dive off a research boat, identify and classify coral reefs using satellite and drone images, and bring marine life back to reefs. In doing so, they help scientists teach a machine to learn.

Posted inEditors' Highlights

Removing the Drudgery from Earthquake Seismology

by M. K. Savage 26 July 201813 January 2022

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.

Researchers discuss the potential for machine learning applications in space science
Posted inScience Updates

Space Weather in the Machine Learning Era

by Enrico Camporeale, S. Wing and J. Johnson 6 July 2018

Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017

Researchers look to bacterial DNA to understand river flow.
Posted inResearch Spotlights

Using Microbes to Predict the Flow of Arctic Rivers

by E. Underwood 15 May 20184 January 2023

Bacterial DNA provides a good estimate of river discharge.

Posted inEditors' Vox

Deep Learning: A Next-Generation Big-Data Approach for Hydrology

by C. Shen 25 April 20189 March 2023

What can Artificial Intelligence offer hydrologic research? Could deep learning one day become part of hydrology itself?

New models could use machine learning techniques to reduce uncertainties in climate predictions
Posted inResearch Spotlights

Next-Generation Climate Models Could Learn, Improve on the Fly

Sarah Stanley, Science Writer by Sarah Stanley 21 March 201814 June 2022

Scientists propose development of new models that use machine learning techniques to reduce uncertainties in climate predictions.

GeoDeepDive helps geoscientists efficiently discover and leverage the hard-earned data locked in the scientific literature.
Posted inScience Updates

A New Tool for Deep-Down Data Mining

by S. E. Peters, I. Ross, J. Czaplewski, A. Glassel, J. Husson, V. Syverson, A. Zaffos and M. Livny 22 September 20175 May 2022

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

by I. Ebert-Uphoff and Y. Deng 30 August 20177 October 2022

A step-by-step cartoon guide to efficient, effective collaboration between Earth scientists and data scientists.

Posts pagination

Newer posts 1 … 18 19 20 21 Older posts
Over a dark blue-green square appear the words Special Report: The State of the Science 1 Year On.

Features from AGU Publications

Research Spotlights

Drought Drove the Amazon’s 2023 Switch to a Carbon Source

25 February 202625 February 2026
Editors' Highlights

Tectonic Modifications Shape Surface Environment and Landscape

2 March 202626 February 2026
Editors' Vox

A Double-Edged Sword: The Global Oxychlorine Cycle on Mars

10 February 202610 February 2026
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