Page 3: 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.

Engineering

Why apartments are failing the heat stress test

If a heat wave hit Melbourne and the power blacked out, most apartment buildings would bake, with indoor temperatures exceeding international health standards, according to a new analysis that calls for Australia to adopt ...

Electronics & Semiconductors

The hidden carbon footprint of wearable health care

University of Chicago and Cornell University researchers analyzed wearable health care electronics and reported carbon impacts of 1.1–6.1 kg CO2-equivalent per device. With global device consumption projected to rise 42-fold ...

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