The article discusses how the design of buildings affects greenhouse gas emissions, with a focus on reducing carbon footprints. The researchers used machine learning to discover various design options for a multi-family building that could lower the carbon footprint. By analyzing these options, they uncovered connections between different factors that could lead to decreased carbon emissions. In simpler terms, the study showed that using artificial intelligence to explore building design choices can help make buildings more environmentally friendly by reducing their carbon footprints.