AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the environment, offering ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Heterotopic ossification (HO) is a common post-surgery condition where bone abnormally forms within soft tissues. A new study out of Mass General ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

The semiconductor industry is evolving with quantum imaging and AI-driven technologies, enhancing defect detection and ...

New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...

Fraud has become one of the quiet forces shaping access to credit and financial opportunity. As digital systems scale, bad actors adapt quickly, often faster th ...

Q-FlexiViT is evaluated on standard intrusion-detection datasets containing multiple attack types and normal traffic. Using ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.