New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

Researchers at the Federal Reserve recently published a paper on Kalshi's effectiveness in predicting certain economic ...

Palantir is going to be working with Polymarket to help crack down on insider trading and other suspicious activities.

It'll be 100% AI-powered stuff, of course, but that's not necessarily a bad thing.