Written by: AI & Architecture

Technology and Artificial Intelligence In Architecture

City Layout

Architecture is embracing a collection of previous construction data to come up with the rapid transformation of iconic structures. Many cities in the world have these attractive stable buildings. Dubai has the 3D designed Jumeirah Emirates Towers. To come up with such stand out structures such as The Museum of The Future in Dubai, you need to high tech computer software which to design them. Computer algorithms were applied to get the model geometric results of the unrealistic structure.

Dubai museum of the future Model
Real Structure of The Mesium of The Future

By implementing algorithms to identify and generate a series of different output results of the building reliable shape.
The core issue of replacing of studying previous data to help create complicated designs works wonders. It helps save time in constructing structures that could take ages to design and make the unrealistic structure real in a short period.

Building And Designing With BIM
Creating 3D Models you need Building Information Modeling (BIM) which simplifies the entire project lifecycle of planning, designing, building, operating and maintaining the structure.
According to the United Nations, by 2050 the world’s population will be 10 billion. How will this population afford housing? Architecture and Engineers are facing a major shift in utilizing the available data through advanced technologies to solve this problem.
The BIM system utilizes all data collected to develop all the stages of construction. Purdue University has conducted interesting research to help create new smart cities of the future. The researchers of the university came up with a new method that describes the data used to develop BIM. They named the method Industry Foundation Classes (IFC).
“It normally requires a large amount of effort when manually interpreting IFC data due to its large number of entities and the complex connections between one entity and another. “Our technology helps BIM software developers create IFC-based solutions for any task in the life cycle of an AEC project.” Purdue’s Polytechnic Institute assistant professor explained.
The IFC data boosted the development of the BIM system. “We created a visualization algorithm and implemented it based on the new method we developed. The new method can help eliminate missing or inconsistent information during software development.” He added. The team is working on licensing it and any partner interested in licensing it is welcome.

City layout Design

AI’s ability to use previous data to make a decision is helping architects to pull all zoning data, building codes, and disabled design data, and generate design model variations that give out complex designs.
There is no doubt over the years technology and automation will continue shaping and improving project delivery, evaluation, performance, and billings. Unfortunately, not all architects who are incorporating artificial intelligence into practice, this may make them get left behind. The entire industry is changing and they need to find a way to get ahead of the revolution before they get flattened by it.
The engineering and construction industry is worth trillions of dollars every year. The customers are increasingly sophisticated and this explains why the industry needs to game up and be digitized. AI’s proliferation in the immediate future of the construction industry will be modest.
The paradigm shift is real, Stakeholders in the construction lifecycle among contractors, operators, service providers can no longer afford to conceive of Artificial intelligence as the technology that’s pertinent only to other industries.

The current state of Artificial intelligence in the Architecture industry.

AI uses cases in the construction industry, is just coming into existence and beginning to display signs of future potential.
It’s easier to come up with a million alternatives for project continuity and delivery, which will enhance overall project management and planning.

With classification and recognization of images, its easier to asses data gathered in construction sites to observe work behavior and identify unsafe scenarios and aggregate this data for future reference and education priorities.

High tech sensors platforms can analyze and collect data to understand arising failures and signals to deploy real-time solutions.