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 ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

Local AI just took a big leap. Larger models and generative workloads now run at the edge without the cloud. Here is why it ...

For decades, bulky spectrometers have been the main tools for understanding how things are made of chemicals (a thing called composition). Spectrometers are a type of lab equipment that uses prisms or ...

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 ...

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...