Hidden seismicity patterns before large earthquakes uncovered

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
Nature

Deep Learning for Image Analysis in Geosciences

Deep learning has emerged as a transformative approach for analysing geological imagery, enabling rapid, objective interpretation of complex structures and materials across multiple scales. By ...
Nature

Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data

Pore pressure (PP) is an important parameter in geoscience, especially in drilling and reservoir engineering. It plays a significant role in the feasible exploitation of petroleum reservoirs.
National Academies of Sciences%2c Engineering%2c and Medicine

Service-Learning in Undergraduate Geosciences: Proceedings of a Workshop

Suggested Citation: "1 Introduction." National Academies of Sciences, Engineering, and Medicine. 2017. Service-Learning in Undergraduate Geosciences: Proceedings of a ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
National Academies of Sciences%2c Engineering%2c and Medicine

Service-Learning in Undergraduate Geosciences: Proceedings of a Workshop

Suggested Citation: "4 Characterizing Current Service-Learning." National Academies of Sciences, Engineering, and Medicine. 2017. Service-Learning in Undergraduate Geosciences: Proceedings of a ...