Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular ...

Federal prosecutors in Manhattan are exploring whether certain lucrative bets placed on prediction markets have violated ...

A study was conducted to determine the effect of integrating clinical, genetic, and artificial intelligence-enabled ECG risk signals in prediction of AF risk.

California Governor Gavin Newsom on Friday issued an executive ​order barring state officials from using ‌insider knowledge ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Prediction markets like Polymarket let users bet on future events. At least one trader has been remarkably prescient about ...

Contributor content. Read about Vishal Singh's role as a demand forecasting expert from global tech markets to the industrial ...

The Associated Press today announced that it will provide its U.S. elections results to Kalshi, the world’s largest prediction market. AP will provide Kalshi with its vote count data and race calls ...

Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...

Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...

The political fight in the US over the future of prediction markets like Polymarket and Kalshi has escalated into a full-blown war, and battle lines aren't being neatly drawn along party lines.

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying ...