Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

Here are six predictions for how AI capabilities will evolve in 2026.

With Christmas just around the corner, some might be wondering what the weather forecast might be in their area during the holiday. Find out which cities are on Santa's nice list and which ones are ...

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

AI’s financing boom is like a “pig going through a python.” TD Asset Management’s Anthony Foss discusses opportunities and ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Teams on opposite sides of the AFC North standings meet in the nightcap of the 2025 NFL Thanksgiving schedule when the Baltimore Ravens host the Cincinnati Bengals. The Ravens are tied atop the ...

A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...