Researchers from the University of South Florida and partner institutes developed the DynBAS-AWRF Tree, an AI-powered, energy ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

From conspiracy theories to new fashion trends, some online ideas explode in hours—capturing attention and shaping discourse—while others hardly gain attention. What makes some ideas go viral while ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Most product teams start with correlation. They build a model that predicts who will click, buy, or return, and then they point promotions or notifications at those people. This looks clever on a ...

A 14-year-old student set out to test whether chatbots like ChatGPT could recognize stress and assist with mental health.

In the Danish town of Billund, Oliver Berry visits the birthplace of the little bricks that conquered the world — and joins devotees at the new Lego Masters Academy ...