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

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: ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

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

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

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 ...

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

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