Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

This is the Best of the Week. Voices from the Analytical Front Line: Bingchuan Wei on Chromatography in 2026 In the year 2026, chromatography is undergoing a series of advancements and challenges.

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Wearable technology could transform injury detection in workplaces, but researchers highlight the current limits of automation in ergonomic risk assessment.

Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, ...

AMD’s next-generation Zen 6 CPU architecture has quietly made its first appearance through an internal developer document, giving enthusiasts an early glimpse at what lies ahead. The information comes ...