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.

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function as black boxes, producing alerts or classifications without clear ...

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

A potential announcement alluded to by the Trump administration could result in the reclassification of marijuana, though industry leaders are split on what that ...

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

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Hydrogen holds promise as an alternative energy source that will play an important role in decarbonizing the global energy system, potentially fueling our industrial production, homes, commerce and ...

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