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

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 ...

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

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and ...

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

As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...

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

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of ...

StormHarvester uses machine learning and rainfall forecasting to predict sewer levels and optimise the performance of wastewater networks.

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Aga Khan University has launched the Kikohozi Classifier Project, an artificial intelligence-powered initiative aimed at enhancing early detection of ...

AI writing tools are now part of daily life. Students use them for essays. Professionals use them for emails. Marketers use them for blog drafts. Many ...