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Machine Learning in Building Design and Operations

Machine Learning in Building Design and Operations

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 Machine learning has progressed from science fiction to fact. The AEC industry is increasingly exploring and using it to improve productivity and deliver better design and construction outcomes. On this episode of Expanding the Possible, guest Gary Chang, a data scientist at HH Angus, talks about the latest advances and opportunities in the application of machine learning to optimizing building design and building operations automation. ‘Expanding the Possible’! is a podcast series from HH Angus and Associates. It explores how engineering is advancing the built environment. From innovations in building systems, to the Internet of Things… from digital services connecting the modern workplace, to combating the impact of climate change … we delve into exciting developments in today’s – and tomorrow’s - building infrastructure.

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