The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

Objective probability estimates the odds of an event occurring through data analysis. It uses concrete measures instead of guesses to provide a reliable forecast.

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

AgentX transforms your ideas into executable strategies, eliminating black-box operations and making them reproducible.

JACKSONVILLE, Fla. – The El Niño Southern Oscillation, also known as ENSO is one of the indices we use to help forecast the weather pattern months down the line. ENSO is a climate pattern of shifts in ...

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...

Abstract: Probabilistic electricity price forecasting (EPF) is crucial for optimizing decision-making in modern electricity markets. However, most studies focus on forecasting individual market prices ...

So, yeah, you should probably take economic forecasts with a grain — heck, a giant heap — of salt. All that said … It's still interesting to get a sense of what professional forecasters are predicting ...

Labor market weakness, uncertainty about inflation and political pressure will push the Fed to lower rates aggressively in the early part of 2026, according to Moody's Analytics economist Mark Zandi.