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Automating MEP Element Placement Using Machine Learning in Revit

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    Machine learning is a much talked about and relatively new way for creating artificial intelligence systems and applying them to complicated problems. KLH Engineers is applying artificial intelligence to solve challenging problems in the architecture, engineering, and construction (AEC) industry. This class is a case study on applying machine learning to the problem of MEP element placement based on BIM (Building Information Modeling) data provided by other consultants. Attendees will discover how KLH applied a machine-learning algorithm to classify BIM objects in a room.

    Key Learnings

    • Discover how machine learning can be used as a tool in the AEC industry.
    • Discover how KLH trained a model on a small data set of objects.
    • Learn how to integrate a concrete use of machine learning into a company’s workflow.
    • Learn that you don’t need super computers and PhDs to develop and deploy this technology.