For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Multi-tasking robots equipped with artificial intelligence will change the world. Mankind has to be ready to get the best out ...
CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Different LiDAR sensors in autonomous vehicles deliver precise 3D imaging, supporting reliable perception and decision-making ...
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...