Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Trader Joe's is the perfect place to shop for affordable wines that taste great. This time, we reviewed sparkling wines to ...

A polar bear stood outside the Department of the Interior’s headquarters in Washington, D.C., Thursday with a message: “Stop ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ...

By Michael Riley Local Journalism Initiative Reporter A public meeting and a virtual public information session were held on Dec. 17 regarding a proposal for a Class A quarry near Bow Lake in ...

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

USC freshman wide receiver Tanook Hines is heading home with an opportunity few first-year players get this early in their ...

President Donald Trump is expected to sign an executive order rescheduling marijuana as a Schedule III drug. How's it ...

President Donald Trump on Thursday, signed an executive order that could reclassify marijuana as a less dangerous drug.

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.