S&P 500: Don't Be Misguided By These Charts Again In 2026

S&P 500 high P/E doesn’t reliably forecast weak returns—learn why popular charts mislead and how rates, trade, and ...
Modern Ghana

Machine Learning Weather Models Are Transforming Climate Forecasting Across Africa

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...
CFO.com

Machine learning improves earnings forecast accuracy by 7%

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
IEEE

Comparing Shallow and Deep Learning Regression Methods to Forecast Short-Term Oil, Water, and Gas Rates in a Pre-Salt Petroleum Field

Abstract: Accurate, quick forecasting of petroleum production data in short-term scenarios is a complex challenge that requires the development of reliable predictive models. Traditionally, engineers ...
IEEE

Weighted Quantile Regression-based Probabilistic Forecasting for Solar Photovoltaic Systems

Abstract: Global warming has become an increasingly critical global challenge in recent years, necessitating the widespread deployment of renewable energy resources to mitigate greenhouse gas ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...