Abstract
Building information modeling gained popularity and recognition in the 2000s, making the building process productive, saving time and money, and improving collaboration. Though the building sector took some time to adopt new technology, when utilized correctly, technology can significantly boost productivity in the conventional construction industry. While BIM has significantly advanced building activities, artificial intelligence contributed by applying machine learning to increase efficiency. Since the advent of artificial intelligence for computer-aided design in the 1970s, technology has improved substantially. Numerous technical advancements are based on machine learning algorithms, propelling AI to the top of the BIM list. Presently different techniques rely primarily on human ability; these advancements and innovations are critical in the construction business. AI can be used to streamline these operations, saving costs, delays, and hazards while improving project output quality.
Original language | English |
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Title of host publication | Artificial Intelligence and Machine Learning Techniques for Civil Engineering |
Publisher | IGI Global |
Pages | 1-18 |
Number of pages | 18 |
ISBN (Electronic) | 9781668456446 |
ISBN (Print) | 9781668456439 |
DOIs | |
Publication status | Published - 1 Jan 2023 |
Externally published | Yes |