Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

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

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

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

Compare the best prediction markets in 2026. See welcome offers, fees, and sports coverage for Kalshi, Polymarket, OG ...

Copilot in Excel is getting a smarter web search system that runs parallel lookups and cross-checks sources before answering.

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

NEW YORK--(BUSINESS WIRE)--Polymarket, the world's largest prediction market, today announced the launch of the first prediction markets tied to private company performance and milestones. These new ...

Q. I often perform horizontal, vertical, and trend analysis for clients. Each time revised financial statements arrive, I find myself recreating formulas, rechecking ranges, and confirming that ...

AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...

Prediction markets generate probabilities for specific events through participant trading. A contract at 65 cents implies a 65% probability. These markets cover Federal Reserve rate decisions, ...