In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Abstract: Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

Vlad Tenev explains how prediction markets are fixing the information problem. Prediction markets are the fastest-growing business for Robinhood Markets. HOOD shares are currently up some 300% versus ...

Ant International currently deploys the Falcon TST AI Model to forecast cashflow and FX exposure with more than 90% accuracy Ant International, a leading global digital payment, digitisation, and ...

The Los Angeles Dodgers and their superstar Shohei Ohtani began this season as the biggest World Series championship favorite since the 2002 New York Yankees, and that's largely held. The Dodgers have ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

1 Chongqing Key Laboratory of Childhood Nutrition and Health, Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and ...

Join the University Libraries for our new Introduction to Python workshop series with Genevieve Milliken, data librarian, on September 18 and 25. This beginner-friendly, two-part workshop introduces ...

gmf-investments/ ├── data/ # Raw and processed datasets ├── notebooks/ │ ├── 1_data_processing.ipynb │ ├── 2_forecast_modeling.ipynb │ ├── 3_portfolio_optimization.ipynb │ └── 4_backtesting.ipynb ├── ...

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...