Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, ...

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 ...

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.

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

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

As genAI spreads into core systems, weak governance, hidden bias and security gaps threaten trust, compliance and long-term business value ...