AI shows promise for flood forecasting and water security in data scarce regions

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

Federal Reserve Research: Kalshi Prediction Markets Are Just as Good, if Not Better, Than Traditional Forecasting Methods

Researchers at the Federal Reserve recently published a paper on Kalshi's effectiveness in predicting certain economic ...

Palantir's Next Big Growth Opportunity: Policing the Prediction and Sports Betting Markets?

Palantir is going to be working with Polymarket to help crack down on insider trading and other suspicious activities.
IEEE

STGN: A Spatio-Temporal Graph Network for Real-Time and Generalizable Trajectory Planning

Abstract: In dynamic and unstructured environments, mobile robots need to generate safe and efficient trajectories in real time, which poses significant challenges due to the uncertainty of ...