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 ...

Spatiotemporal correlation-based AI developed for bias correction of atmospheric and oceanic variables

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

Well-timed bets on Polymarket tied to the Iran war draw calls for investigations from lawmakers

NEW YORK (AP) — Calls are increasing inside Congress for investigations into the prediction market platform Polymarket after ...
IEEE

CPU Usage Forecasting for Load Balancing in Kubernetes Using LSTM: A Synthetic Traffic Simulation Approach

Abstract: Kubernetes offers automatic scaling; however, the accuracy of predicting resource requirements remains a challenge in dynamic workload environments. This research proposes LSTM to predict ...
IEEE

Deep Learning Models for Stock Price Forecasting Using Traditional Time Series Approaches

Abstract: This study reveals a new forecasting method that employs deep learning and statistics to improve stock price projections. Volatility, nonlinearity, and noise confound financial time series, ...