Prediction markets are back in the spotlight, this time because of the war in Iran

Prediction markets let people wager on anything from a basketball game to the outcome of a presidential election — and ...
Santa Fe Institute

A simple baseline for AI forecasting in machine learning

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

Kalshi now controls 89% of the U.S. prediction market as regulated trading takes over

As Kalshi captures a dominant 89% of the market, a high-stakes legal battle between federal regulators and individual states ...
CoinDesk

Binance adds prediction market to its app for millions of users

The integration covers gas costs to lower barriers for retail users. Binance doesn't operate the markets directly, instead ...

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models on track ...

Aftab Uddin Presents Next-Generation AI Risk Model for U.S. Financial Stability and Portfolio Optimization

NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...

The Prediction Problem: How Demand Forecasting became Critical to American Manufacturing

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

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...