search
HomeTechnology peripheralsAIGet ready for artificial intelligence to transform the construction industry

Get ready for artificial intelligence to transform the construction industry

The latest autonomous driving technology has made remarkable progress, from the autopilot system of cars to the autopilot of aircraft and autopilot instruments, the first generation of artificial intelligence everywhere.

These tools have changed the way we live and how we interact with the world and each other. Remember the world 30 years ago? It was a world without the Internet, without email, without social media, without ubiquitous photography, without online ride-hailing, let alone trams.

The next generation of artificial intelligence, known as artificial general intelligence (AGI), will have the ability to understand a wide range of tasks, such as abstract thinking. It will be able to judge and adapt just like humans. This will completely change the world we live in, probably within the next 20-30 years. AGI will be developed in the near future; however, what does this mean for those working in the built environment? The construction industry is very complex. The way buildings are planned, designed, constructed, purchased, financed, insured and used are interdependent. This trend has evolved into a process where processes reinforce each other, making it difficult for disruptors to break through.

Although the value of cutting-edge technologies will also continue to decline exponentially, it is possible to reach a point where existing models no longer apply. In fact, we are already seeing this happen with advances in off-site manufacturing and platform-based design and manufacturing approaches (P-DfMA).

Architectural design has been affected by artificial intelligence. Generative AI enables it to use parametric models as well as evidence-based design, tested and iterated through traditional algorithms, to achieve optimal designs at an early stage, improving efficiency and reducing carbon emissions.

Sophisticated simulations and analytics can be used to build better strategies, handle numerous variables simultaneously, and learn from the millions of data points generated by each project; something humans simply cannot do.

What’s Likely to Happen in the Future

Starting in 2030, there will be an explosion of generative artificial intelligence in architecture and engineering offices. Early stage and multi-objective optimization will become the norm and will span all architectural and engineering disciplines.

This will inform projects and reduce risks from the outset, including cost analysis, regulatory and planning compliance and carbon emissions reduction. A paradigm shift is coming.

As the role of artificial intelligence continues to extend into materials science in the 2030s, it will help accelerate the discovery and application of new materials to improve building performance, durability and sustainability. In fact, people will also start witnessing automated construction sites.

By around 2040, artificial intelligence will transform the engineering and construction industries in ways that are difficult to predict. Most processes will be automated and optimized.

Designers will use artificial intelligence in all aspects of their work, and it will become a tool to enhance perception, intuition and creativity. The boundaries between disciplines are likely to disappear. The design enterprise will be holistic, end-to-end. Planning, cost and compliance will be fully automated and perhaps even autonomous.

In fact, construction sites will also change. With robots that not only have human dexterity, can be programmed in simple English, and cost as much as a microwave oven, one can expect them to be used in many fields, especially high-risk areas. This will change perceptions of risk and constructability, affecting building plans and costs.

In the 2050s and beyond, with the emergence of general artificial intelligence, people will see everything change again. Jobs thought to be performed only by humans will soon be replaced by programs.

If we continue to extend this to bioengineering and robotics, from biogenetic carbon sequestration materials to self-building micro and nanotechnology, the possibilities will be beyond people's imagination.

Summary

The reality is that the development of artificial intelligence and its penetration into all aspects of life and work will initially improve people's work standards. This is called augmented intelligence, and it happens to be a combination of human experience and narrow artificial intelligence. But the point is, this is just the beginning.

As systems and processes become smarter, currently perceived risks or limitations may disappear. This will lead to changes in how buildings are designed, constructed, procured and even insured. At this point, the roles of engineers, project managers, architects, and others must change. If they don't adapt, their jobs are at risk.

Clearly, most existing jobs will change in the next 5 to 10 years. Everything currently done on screens could eventually be automated. The key, therefore, is that people need to learn, grow and adapt to stay relevant, and they need to invest in innovation that can anticipate this disruption.

The above is the detailed content of Get ready for artificial intelligence to transform the construction industry. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
2023年机器学习的十大概念和技术2023年机器学习的十大概念和技术Apr 04, 2023 pm 12:30 PM

机器学习是一个不断发展的学科,一直在创造新的想法和技术。本文罗列了2023年机器学习的十大概念和技术。 本文罗列了2023年机器学习的十大概念和技术。2023年机器学习的十大概念和技术是一个教计算机从数据中学习的过程,无需明确的编程。机器学习是一个不断发展的学科,一直在创造新的想法和技术。为了保持领先,数据科学家应该关注其中一些网站,以跟上最新的发展。这将有助于了解机器学习中的技术如何在实践中使用,并为自己的业务或工作领域中的可能应用提供想法。2023年机器学习的十大概念和技术:1. 深度神经网

人工智能自动获取知识和技能,实现自我完善的过程是什么人工智能自动获取知识和技能,实现自我完善的过程是什么Aug 24, 2022 am 11:57 AM

实现自我完善的过程是“机器学习”。机器学习是人工智能核心,是使计算机具有智能的根本途径;它使计算机能模拟人的学习行为,自动地通过学习来获取知识和技能,不断改善性能,实现自我完善。机器学习主要研究三方面问题:1、学习机理,人类获取知识、技能和抽象概念的天赋能力;2、学习方法,对生物学习机理进行简化的基础上,用计算的方法进行再现;3、学习系统,能够在一定程度上实现机器学习的系统。

超参数优化比较之网格搜索、随机搜索和贝叶斯优化超参数优化比较之网格搜索、随机搜索和贝叶斯优化Apr 04, 2023 pm 12:05 PM

本文将详细介绍用来提高机器学习效果的最常见的超参数优化方法。 译者 | 朱先忠​审校 | 孙淑娟​简介​通常,在尝试改进机器学习模型时,人们首先想到的解决方案是添加更多的训练数据。额外的数据通常是有帮助(在某些情况下除外)的,但生成高质量的数据可能非常昂贵。通过使用现有数据获得最佳模型性能,超参数优化可以节省我们的时间和资源。​顾名思义,超参数优化是为机器学习模型确定最佳超参数组合以满足优化函数(即,给定研究中的数据集,最大化模型的性能)的过程。换句话说,每个模型都会提供多个有关选项的调整“按钮

得益于OpenAI技术,微软必应的搜索流量超过谷歌得益于OpenAI技术,微软必应的搜索流量超过谷歌Mar 31, 2023 pm 10:38 PM

截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。 3月23日消息,外媒报道称,分析公司Similarweb的数据显示,在整合了OpenAI的技术后,微软旗下的必应在页面访问量方面实现了更多的增长。​​​​截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。这些数据是微软在与谷歌争夺生

荣耀的人工智能助手叫什么名字荣耀的人工智能助手叫什么名字Sep 06, 2022 pm 03:31 PM

荣耀的人工智能助手叫“YOYO”,也即悠悠;YOYO除了能够实现语音操控等基本功能之外,还拥有智慧视觉、智慧识屏、情景智能、智慧搜索等功能,可以在系统设置页面中的智慧助手里进行相关的设置。

人工智能在教育领域的应用主要有哪些人工智能在教育领域的应用主要有哪些Dec 14, 2020 pm 05:08 PM

人工智能在教育领域的应用主要有个性化学习、虚拟导师、教育机器人和场景式教育。人工智能在教育领域的应用目前还处于早期探索阶段,但是潜力却是巨大的。

30行Python代码就可以调用ChatGPT API总结论文的主要内容30行Python代码就可以调用ChatGPT API总结论文的主要内容Apr 04, 2023 pm 12:05 PM

阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。 阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。使用 Python 和 C

人工智能在生活中的应用有哪些人工智能在生活中的应用有哪些Jul 20, 2022 pm 04:47 PM

人工智能在生活中的应用有:1、虚拟个人助理,使用者可通过声控、文字输入的方式,来完成一些日常生活的小事;2、语音评测,利用云计算技术,将自动口语评测服务放在云端,并开放API接口供客户远程使用;3、无人汽车,主要依靠车内的以计算机系统为主的智能驾驶仪来实现无人驾驶的目标;4、天气预测,通过手机GPRS系统,定位到用户所处的位置,在利用算法,对覆盖全国的雷达图进行数据分析并预测。

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

Repo: How To Revive Teammates
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.