Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

This article is excerpted from the forthcoming book Wrong Number (Wiley, May 12, 2026) In 1974, an economist at the ...

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

Think high pay means high excitement? Think again. These nine in-demand jobs pay $59 or more per hour, and employers are ...

AI and biometrics are reshaping high-stakes examination infrastructure with smarter surveillance, secure identity checks, and ...

Palantir PLTR released its first-quarter earnings report on May 5. Here’s Morningstar’s take on Palantir’s earnings and stock. Palantir shares are down slightly after reporting first-quarter results, ...

Brandywine Realty Trust ( BDN) is a REIT that owns class-A office properties in high-demand urban and transit-oriented ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Discover how AI-powered odds compilation is reshaping pre-match betting markets with smarter data processing, faster updates, ...