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

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

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

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production.Modern Python tools enhance mode ...

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