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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...

Magnetic resonance imaging (MRI) radiomics as predictor of clinical outcomes to neoadjuvant immunotherapy in patients with muscle invasive bladder cancer undergoing radical cystectomy. This is an ASCO ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...