South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

The UK government's proposed reforms to policing in England and Wales signal an increase in the use of facial recognition ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

A tiny optical booster built directly onto a chip is pointing toward a future where light, not just electricity, does the ...

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

IAEA experts assess damages to a building after a devastating 7.7 magnitude earthquake in Myanmar in March 2025 (Photos: G. M-Seminario/IAEA).

A new IAEA research project will investigate how artificial intelligence can be used to strengthen non-destructive testing techniques used in disaster response. The project aims to enable faster, ...

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 ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

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

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...