Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...

AI-driven automation is transforming the cloud & data centre industry, enabling predictive maintenance, energy efficiency, ...

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...

At the frontier of land science, GeoAI integrates Earth observation, machine learning, and deep learning to produce ...

The final, formatted version of the article will be published soon. In the evolving landscape of disaster response, integrating advanced digital technologies is critical to enhancing the efficiency ...

Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...

From the U-boats of the first world war to the nuclear-powered leviathans that glide through today's deep waters ... And by learning how submarines navigate, avoid detection, and exploit environmental ...

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...