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

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and multispectral photography. While radar and LiDAR penetrate canopies to reveal ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.