Artificial intelligence is quietly rewriting the rules of space weather forecasting, turning what used to be a hazy two-day ...

Generally speaking, Nvidia’s DLSS technologies have provided better image quality than AMD’s FSR, but they have only been ...

AI just uncovered hundreds of mysterious figures hidden for centuries beneath Peru’s desert—redefining what we thought we ...

Imagine trying to spot an object just 30 centimeters wide from hundreds of kilometers above Earth. Years ago, I remember when “satellite view” meant blurry green blobs on a screen. Now, we can see ...

Abstract: Landslides are among the most common natural disasters globally, posing significant threats to human society. In recent years, deep learning (DL) has been widely applied to rapid landslide ...

Abstract: In this study, we propose a deep learning-based superresolution network for reconstructing high-resolution synthetic aperture radar (SAR) images under bandwidth-limited conditions. In ...

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...

Extreme weather events such as heatwaves, cyclones, floods, wildfires, and droughts are becoming more frequent due to climate change. Climate change causes shifts in biodiversity and impacts ...