Abstract
Artificial intelligence is rapidly expanding its presence and is now being drawn into the construction industry. Building Information Modeling (BIM) is considered one of the key elements in the field of architecture, engineering and construction (NPPs) with a market volume of $8 billion by 2020 in various segments such as commercial, educational, residential, medical, industrial, entertaining and sports. BIM is a relatively new technology in the industry that is usually slow to change. However, many early followers believed that BIM would grow exponentially through the development of digital technologies such as mobile communications, IoT, Big Data, Data Science, machine learning and artificial intelligence. Direct integration of machine learning technology in BIM can facilitate in various areas, such as – identification of the default object from previous similar projects; excessive removal of information in the process of learning without a teacher. Semi–supervised or supervised learning can upgrade earlier non–BIM data to complex BIM-supported projects. Advanced training agents can help with online management and maintenance. Even ready-made machine learning, such as language recognition, object detection, object identification, or natural language processing using machine learning technology, can be used to directly model recovery instead of prone to manual typing errors. Like any new process, change takes time, especially in an industry as distinct as construction. However, the simplified and cost–effective BIM design process offers proven cost reduction and quality improvement. What can be easily achieved with artificial intelligence and machine learning.
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