Page 12: Research news on AI in built environment

AI in the built environment encompasses data-driven and physics-informed methods to model, predict, and optimize the performance and resilience of buildings and infrastructure. Machine learning and advanced simulation are applied to building energy use, HVAC control, and solar and wind power forecasting, as well as to hazard-related phenomena such as subsidence, floods, fire, and seismic events. The field also integrates retrofitting strategies, climate-smart housing design, and regulatory considerations to enhance energy efficiency, comfort, and disaster resilience in urban systems.

Energy & Green Tech

AI paves the way toward green cement

The cement industry produces about 8% of global CO₂ emissions—more than the entire aviation sector worldwide. Researchers at the Paul Scherrer Institute PSI have developed an AI-based model that helps to accelerate the discovery ...

Energy & Green Tech

New approach models potential and trade-offs of floating solar

Floating solar, the practice of placing solar panels on bodies of water, can generate even more electricity per square foot than terrestrial solar. But researchers are just starting to understand the impacts of floating solar ...

Computer Sciences

Microsoft AI weather forecast faster, cheaper, truer: Study

Microsoft has developed an artificial intelligence (AI) model that beats current forecasting methods in tracking air quality, weather patterns, and climate-addled tropical storms, according to findings published Wednesday.

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