Point Clouds and what they mean for the Built World
Discover how point clouds are used in the built world and how they are influencing the future of construction.
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Written by Adam Cisler & ChatGPT
I “sat down”with OpenAI’s generative AI “ChatGPT” which has been dominating headlines recently for its glimpses into the future of how we will interact with AI. I wanted to use the tool to discuss and uncover what it is and why the construction industry should take notice now and how to leverage the technology. The ChatGPT responses were generated and displayed here without any editing required.
Note: For a more in depth review of Open.ai, GhatGPT, & generative AI please see links at the end to some great articles which have already done a great job of summarizing these tools and concepts.
ChatGPT: Generative AI involves creating new data or content, such as images, text, or audio, by learning the patterns and relationships in existing data. This is typically done through machine learning techniques like Generative Adversarial Networks (GANs) or Variational
Autoencoders (VAEs). The goal is to generate new, realistic data that can be used for various purposes such as data augmentation, art creation, or simulating scenarios.
Generative AI advancements can bring several benefits to the construction industry:
By incorporating generative AI advancements, the construction industry can improve project efficiency, reduce costs, and ensure high-quality outcomes.
Certainly, elaborating more on point 1: Automated Design in the construction industry.
Generative AI can assist architects and engineers in the design process by generating new designs based on the input parameters and constraints. For example, the AI system can generate multiple design options that meet specific criteria such as energy efficiency, material use, cost, and construction time. This not only saves time, but also expands the pool of design possibilities and increases creativity.
Moreover, AI systems can learn from existing design patterns and incorporate new innovations and technologies into their design generation, making the designs more optimized and efficient. Additionally, AI can also help with the visualization of designs, by creating virtual or augmented reality experiences that can be used for presentations, stakeholder engagement, and visualization of construction sites.
In summary, automated design with generative AI has the potential to transform the design process in the construction industry by generating new and innovative design options, optimizing the designs for various constraints and parameters, and assisting with the visualization process.
Of course, elaborating on point 3: Quality Control in the construction industry.
Quality control is a critical aspect of the construction process to ensure that the final product meets the desired standards and specifications. Generative AI can assist with quality control in several ways:
In summary, by incorporating generative AI advancements in quality control, the construction industry can ensure that projects are completed to high standards and in a timely and cost-effective manner. AI can help identify potential problems early and provide real-time feedback, which ultimately results in improved quality and safety.
Here are a few construction technology startups that offer automated BIM-based reality capture analysis using AI:
Note: This is not a comprehensive list and the companies mentioned may have evolved or changed their offerings since my knowledge cutoff in 2021.
Yes, BIM-based reality capture analysis using AI is gaining adoption in the construction industry. The use of AI in construction is growing as it can help to automate manual processes, improve efficiency and accuracy, and provide real-time insights into the construction project. AI-powered BIM-based reality capture analysis can help to quickly identify and resolve issues on construction sites, which can reduce the time and cost of construction projects. Additionally, AI can provide valuable data and insights that can help to improve construction processes and make more informed decisions. As a result, more construction companies are adopting AI technologies for BIM-based reality capture analysis to enhance their operations.
Advancements in generative AI have the potential to significantly enhance construction progress analysis in the future by providing new and more advanced capabilities:
These are just a few examples of how generative AI can enhance construction progress analysis in the future. The technology is still evolving and new capabilities are likely to emerge in the coming years.
To prepare for the changes that generative AI is likely to bring to the construction industry, those in the industry should consider the following steps:
By taking these steps, organizations in the construction industry can prepare for the changes that generative AI is likely to bring and to take advantage of the opportunities that the technology offers.
In conclusion, As you can tell the data set is already dated (Katerra?! Is listed) and startups which have seen a large increase in adoption since 2021 such as Avvir are underrepresented or in this data set. This should be addressed in the next release of GPT4 which is planned to have orders of magnitudes more and more current data to draw from. It is an exciting time to be in the construction technology industry and I am looking forward to the further development of more focused and actionable applications in construction.
Deeper dives into ChatGPT:
Generative Ai is going to be everwhere | Forbes
Overall Intro to AI:
The Artificial Intelligence Revolution: Part 1 - Wait But Why
Comprehensive article on the many emerging forms of AI:
Practical Guide to AI in the Metaverse | by Alan Smithson | Jan, 2023 | Medium
5/10/21
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