Explore how the circular flow model illustrates money's movement through an economy, cycling from producers to consumers, influencing GDP.

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

One of the most interesting and useful slang terms to emerge from Reddit in my opinion is ELI5, from its subreddit of the same name, which stands for "Explain It Like I'm 5" years old. The idea is ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Across the quiet darkness of space and the buried detectors under Antarctic ice, a set of stubborn anomalies is piling up.

Scientists at Scripps Institution of Oceanography at UC San Diego and the California Institute of Technology are one step closer to understanding an enigma in climate change science: why do climate ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...

In 2015, when NASA's New Horizons spacecraft encountered the Pluto-Charon system, scientists discovered interesting, geologically active objects instead of the inert icy orbs previously envisioned.

Structural models of default are widely used to analyze corporate bond spreads, but have generally been unable to explain why risk premiums are as high as they are. This credit spread puzzle can be ...