Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

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 ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

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

How Do Non-Human Identities Enhance AI Threat Detection? Is your organization leveraging Non-Human Identities (NHIs) to elevate its cybersecurity strategy? Managing NHIs becomes a pivotal factor in ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

How does AI identify MEV patterns? Know how machine learning detects sandwich attacks and front-running bots by analyzing blockchain transaction sequences.

Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

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 these places, designated as Superfund sites by the ...

Southwest Research Institute (SwRI) has created a magnetostrictive transducer (MST) probe that uses ultrasonic guided wave ...