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

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...