After decades of research, a rise in highly educated scientists, and evolving efforts to predict dangerous storms, the ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

TradeSmith, a brand under MarketWise, has introduced Predictive Alpha, an artificial intelligence system developed to ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

UniPat AI announces benchmark results for its forecasting model, EchoZ-1. 0 after testing in sandbox and live environments on Polymarket. Prediction markets are a place where individuals can trade on ...

Objectives We use new data and robust methods to estimate mortality levels and trends for US states and Washington DC and ...

As climate change intensifies rainfall variability and extreme weather events, urban flash floods are becoming a growing ...

AI-driven models led both track and intensity predictions in the 2025 hurricane season, outperforming traditional models and ...

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

When making forecasts, our reporters aim to visualize severe weather possibilities rather than focus on the most dire predictions. A possible blizzard this weekend is the latest test. By John Keefe ...

Culex mosquito larvae cluster together underwater. The genus is the chief insect vector for West Nile virus in the United States. Credit: Gross, 2006, https://doi.org ...