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.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...

Has sports betting changed? Absolutely! Statistics and numerical analysis have completely re-shaped how betting works. In the ...