New machine learning techniques have estimated ocean temperatures below 2,000 meters, leading to a new model of warming trends.
machine learning & AI
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.
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.
Call for Papers on Machine Learning and Earth System Modeling
Contributions are invited to a new journal special collection on the use of new machine learning methodologies and applications of machine learning to Earth system modeling.
Reconstructing Rocks with Machine Learning
Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.
Realizing Machine Learning’s Promise in Geoscience Remote Sensing
Machine learning and signal processing methods offer significant benefits to the geosciences, but realizing this potential will require closer engagement among different research communities.
Combining Deep Learning Methods with Process-based Models
Using turbulent heat fluxes as an example, a new study shows that exchange of information between process-based models and deep learning methods may lead to improved predictions.
Ten Ways to Apply Machine Learning in Earth and Space Sciences
Machine learning is gaining popularity across scientific and technical fields, but it’s often not clear to researchers, especially young scientists, how they can apply these methods in their work.
A Tectonic Shift in Analytics and Computing Is Coming
Artificial intelligence combined with high-performance computing could trigger a fundamental change in how geoscientists extract knowledge from large volumes of data.
Eyeing Explosive Ash Clouds from Above and Below
Satellites in the sky combined with computers on the ground detect and track volcanic ash clouds, like those produced by Soufrière St. Vincent in April, in near-real time.