Existing forecasting methods often force a trade-off: either train a highly specialized model for each site (which is costly and doesn't scale) or adapt a large, general-purpose model (which can be ...

Abstract: Existing time-series forecasting methods often struggle to adapt to dynamic scenarios and lack flexibility in prediction. They typically require retraining the model when the prediction ...

In recent weeks, President Donald Trump has made a series of claims about the economy, a topic that should feature prominently in his State of the Union address to Congress on Feb. 24. “We have the ...

Abstract: Time series forecasting plays a vital role in various fields such as energy forecasting and transportation planning. Although Transformer-based models have made remarkable progress in time ...

Adjust any amount for inflation using official ONS data — CPI, CPIH or RPI — from 1901 to 2026 Official ONS Data CPI · CPIH · RPI Updated Feb 2026 What is the current UK inflation rate in 2026? As of ...

An advanced Deep Learning pipeline for spatio-temporal wind speed forecasting using ConvLSTM, PredRNN, and a state-of-the-art Transformer model (PredFormer Fac-T-S). This project handles the entire ...

(Editor's note: Kyle Busch earned pole position at the 2026 Daytona 500, while Chase Briscoe secured the other front-row spot at qualifying Feb. 11.) Welcome to Speedweek! That's the official name for ...

Daytona 500 week begins in earnest on Feb. 11 with Daytona 500 NASCAR Cup Series qualifying to set the front row at Daytona International Speedway. The top two starting spots will be settled in ...

Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political events but economic data, too. Credit...Andrea Chronopoulos Supported by By ...

The issues you care about are up for debate at the legislative session. Keep tabs on Wyoming politics and policy with our free morning newsletter. What happens when Wyoming’s constitutional obligation ...