Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

XRP price has slipped over the past twenty-four hours, but a machine learning algorithm sees the general monthly trend as stable.

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

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

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

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

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

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

(NASDAQ: NXXT ), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today ...

Abstract: This paper presents a rolling horizon-based energy exchange in a building-to-building (B2B) grid using a game theory method. The system combines the predictive capability of long-short-term ...