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AI special: all you need to know about its impact – now and in the future BIM

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The rise of artificial intelligence (AI) is already leading some forecasters to predict a startling vision of construction in a generation's time – where roles traditionally carried out by human beings are instead performed by robots. In the first of our special features Denise Chevin examines which areas of the industry will be most affected.


Tech Report 5.0: AI Arrives

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Using artificial intelligence (AI) to apply machine learning to planning and constructing buildings is still a theoretical proposition for many AEC firms. But in recent years, as data storage and computational power have expanded, more firms are willing to engage AI as a practical analytics tool. Their ultimate goal for using this platform seems clear: to generate predictive data that provides early hints about future trends and behaviors on everything from interior designs to jobsite safety. For example, co-working real estate giant WeWork is using AI-driven machine learning to forecast how prospective occupants might use co-working and shared spaces, and to assist its design partners in making more optimal choices. These analyses draw data from the company's 200-plus locations worldwide.


A Little Help Here? AI Comes to the Rescue of Video-Overloaded Construction Projects ENGINEERING.com

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A big construction project is like a celebrity. It gets a lot of attention. Everyone takes pictures and videos. For stakeholders, it would be nice if all those images could be stored in one place, and be labeled and shared. It would be even nicer if someone could study the collected images and videos and be able to monitor their progress; check on key milestones; spot potential problems, including safety issues; and so on.


Nvidia selects 5 most-disruptive AI startups

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Nvidia is on a quest to find the most disruptive artificial intelligence startups. This quest is part of a larger contest, dubbed Nvidia Inception, which is screening more than 600 entrants to cull the best AI startups in three big categories. We wrote about the first four candidates for the hottest emerging startup on Friday. And now we're focusing on the next five candidates in the category dubbed the "most disruptive" startups. Jen-Hsun Huang, CEO of Nvidia, hosted a Shark Tank-style event this week as part of the search to find the best AI startups. Huang and a panel of judges listened to pitches from 14 AI startups across three categories.


Nvidia selects 5 most-disruptive AI startups VentureBeat AI

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Nvidia is on a quest to find the most disruptive artificial intelligence startups. This quest is part of a larger contest, dubbed Nvidia Inception, which is screening more than 600 entrants to cull the best AI startups in three big categories. We wrote about the first four candidates for the hottest emerging startup on Friday. And now we're focusing on the next five candidates in the category dubbed the "most disruptive" startups. Jen-Hsun Huang, CEO of Nvidia, hosted a Shark Tank-style event this week as part of the search to find the best AI startups. Huang and a panel of judges listened to pitches from 14 AI startups across three categories.