Seafloor topography estimation using gravity data has ... Network (CNN): A type of deep learning algorithm particularly effective in processing grid-based data, such as images and spatial datasets.

Joint inversion of geophysical data is ... and magnetic profiling data to improve the detection and mapping of deep-seated ore bodies, offering new insights into mineral prospecting [3].

Abstract: In recent years, deep learning techniques have increasingly ... underscoring ResDM-Net++’s effectiveness in gravity data analysis, structural reconstruction, and inversion in both synthetic ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

The new open-source model, called Video Joint Embedding Predictive Architecture 2, or V-JEPA 2, is designed to help ...

AI is transforming the cybersecurity landscape—empowering attackers with powerful new tools while offering defenders a chance ...

This process is known as “data gravity,” a term Snowflake coined to describe what happens after a company organizes and unifies its data in one place. Not unlike a planet with gravitational pull, the ...