A novel artificial intelligence (AI) technology now makes it possible to monitor ammonia (NH3)—a key contributor to harmful ...

Digital twins are transforming telecom, enabling predictive maintenance, secure network slicing and self-healing systems that ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

It is a fully biodegradable and eco-friendly system for hydroponic agriculture, made of hydrogel and capable of supporting ...

Learn how AI log analysis enhances security. Reduce the load on SOC teams so they can focus on judgment, context, and ...

Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...

In this interview, Andrew Winney explains how SD-WAN 3.0 is transforming the industry by enabling secure, intelligent, future ...

Heavy metals originate from multiple pathways: untreated industrial effluents, such as those from tanneries and mining operations; agricultural runoff rich in pesticides and fertilizers; municipal ...

The NISAR satellite has captured and transmitted its first images of Earth, which show the science and monitoring ...

Abstract Ammonia (NH3) is a gaseous pollutant with significant environmental and health implications. Over recent decades, its increasing ...

As a business or IT leader, you need to understand not just what these AI cybersecurity threats look like, but how to defend ...