A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The Forecast 2026 project pits soccer fans against AI and statistical models to see who predicts the 2026 World Cup match ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

Goldman Sachs, possibly the most buttoned-up of all the big investment banks, released a report on Friday led by chief economist and head of Global Investment Research, Jan Hatzius, listing the odds ...

Artificial intelligence models, like Google DeepMind, are revolutionizing hurricane forecasting with increased speed and accuracy. Despite its success, some experts refer to the AI model as a "black ...

How prediction market “sharps” have made millions wagering on everything from war to Rotten Tomatoes. Credit...Illustration by Danielle Del Plato Supported by By Adam Iscoe The joke among young men ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Kalshi and Polymarket are two of the hottest platforms for prediction markets. Many have ...

Soon, investors may be able to wager on who wins control of the Senate in their brokerage accounts. Bitwise, Roundhill and GraniteShares have filed applications with the SEC to offer event contracts ...