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AI Can Make Architects More Efficient

by Charlotte Lancaster We believe in Quality
It appears that architects are longing for something like artificial intelligence to encourage their abilities for a very long time.

It appears that in 1969 architect Nicholas Negroponte, published a book titled The Architecture Machine, which forecasts the possibility of a machine that would help architects perform their job. Negroponte dreamed of having an architectural computer that might help architects in the design procedure. He awakened a machine that would aid in three unique manners.

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To automate present procedures to speed up and lower the cost of present practices. Alternating present methods to produce issues machine compatible. Present a design procedure to the machine leading to mutual training and growth of both machine and human. It looks like the first two concepts are achieved. The third concept is a work in progress.

If such a system could be created, then Negroponte pictured a relationship between human and machine that was not master and slave, but a cooperation of the two to get self-improvement. It would be sort of like a digital colleague suggesting design alternative during a free-flowing conversation of ideas. The concepts Negroponte is in machine learning. And that usually means that Negroponte's vision might not be too far off from being totally achieved.

Negroponte further explains the device as being able"to exhibit alternatives, discern incompatibilities, make ideas." It is clear that AI is turning right into providing this to the field of structure and what that means is that architects of the future shouldn't have any fear of losing their jobs. Machines will perform the heavy lifting while architects can focus on town making.

Collecting and storing quantities of information associated with structure is the key. This will allow architects to rely on data and leverage it via artificial intelligence into the practice of design. The field of architecture is now benefiting from research and case studies which are currently available through Building Research Information Knowledgebase (BRIK). But, sharing the data remains a problem. This can help to use automation to improve practice and design on a larger scale. With the advent of Cloud technologies, sharing is much easier.

Sharing information could be achieved both externally and internally. The sharing can occur with in a firm, among a multitude of folks working on precisely the same project, or even with other companies. The outcome is better layout and project delivery. The tendency for architects is to protect intellectual property. This discourages firms from sharing ideas and information with their contest. However, the whole trade could be benefited by sharing data.

Understanding the capacity of data that is big and artificial intelligence can help architects enhance their productivity and that adds up to a greater bottomline.

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About Charlotte Lancaster Advanced   We believe in Quality

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Joined APSense since, May 31st, 2018, From Canada, Canada.

Created on Oct 8th 2018 01:37. Viewed 308 times.

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