Nov. 2, 2023, 4:09 p.m. | Siôn Geschwindt

The Next Web thenextweb.com


Two researchers from the University of Cambridge have developed a deep-learning algorithm that could make it easier, faster, and cheaper to identify energy-wasting homes — a significant source of greenhouse gas emissions.  Trained on open-source data including energy performance certificates and satellite images, the AI was able to classify so-called ‘hard to decarbonise’ houses with 90% accuracy, according to the study. These homes are hard to electrify or retrofit for a variety of reasons including old age, structure, or location. …

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