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Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed a technology whereby two robots can work in unison to 3D-print a concrete structure. This method of concurrent 3D printing, known as swarm printing, paves the way for a team of mobile robots to print even bigger structures in the future. Developed by Assistant Professor Pham Quang Cuong and his team at NTU’s Singapore Centre for 3D Printing, this new multi-robot technology is reported in Automation in Construction. The NTU scientist was also behind the Ikea Bot project earlier this year, in which two robots assembled an Ikea chair in about nine minutes.

Using a specially formulated cement mix suitable for 3D , this new development will allow for unique concrete designs currently impossible with conventional casting. Structures can also be produced on demand and in a much shorter period.

Currently, 3D-printing of large concrete structures requires huge printers that are larger in size than the printed objects, which is unfeasible since most construction sites have space constraints. Using multiple that can 3D print in sync means large structures and specially designed facades can be printed anywhere, as long as there is enough space for the robots to move around the work site.

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If simulating the brain is proving tricky, why don’t we try decoding it?


“There’s a good reason the first flying machines weren’t mechanical bats: people tried that, and they were terrible.” — Dan Robitzski

In the current AI Spring, many people and corporations are betting big that the capabilities of deep learning algorithms will continue to improve as the algorithms are fed more data. Their faith is backed by the miracles performed by such algorithms: they can see, listen and do a thousand other things that were previously considered too difficult for AI.

Our guest for the third episode of the AGI Podcast, Pascal Kaufmann, is amongst those who believe such faith in deep learning is misplaced.

Almost exactly a decade ago, I was cycling in a bike lane when a car hit me from behind. Luckily, I suffered only a couple bruised ribs and some road rash. But ever since, I have felt my pulse rise when I hear a car coming up behind my bike.

As self-driving cars roll out, they’re already being billed as making me – and millions of American cyclists, pedestrians and vehicle passengers – safer.

As a driver and a cyclist, I initially welcomed the idea of self-driving cars that could detect nearby people and be programmed not to hit them, making the streets safer for everyone. Autonomous vehicles also seemed to provide attractive ways to use roads more efficiently and reduce the need for parking in our communities. People are certainly talking about how self-driving cars could help build more sustainable, livable, walkable and bikable communities.

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The HRP-5P is a humanoid robot from Japan’s Advanced Industrial Science and Technology institute that can perform common construction tasks including — as we see above — install drywall.

HRP-5P — maybe we can call it Herb? — uses environmental measurement, object detection and motion planning to perform various tasks. In this video we see it use small hooks to grab the wallboard and slide it off onto the floor. Then, with a bit of maneuvering, it’s able to place the board against the joists and drill them in place.

“By utilizing HRP-5P as a development platform of industry-academia collaboration, it is expected that research and development for practical use of humanoid robots in building construction sites and assembly of large structures such as aircraft and ships will be accelerated,” write the creators.

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As the artificial brain races towards the singularity, what we often forget is the boost to human brainpower that will accompany it. As we increase our senses and perceptions, humans have a choice what to do with these new superpowers, that can be used to reinforce one’s tunnel vision of life or to ignore it.


This story is part of What Happens Next, our complete guide to understanding the future. Read more predictions about the Future of Fact.

Not everyone experiences the world in the same way. Whether it’s how you react to the results of an election or what tones you hear in a sound clip, observable reality is often not as objective as you think it is.

Emerging technologies such as augmented reality will further blur this line. With AR on mobile devices and head-mounted displays, we’re well within the start of what it means to live an augmented life. Humans are doing a lot of fun things right now, like integrating playful games into our world and painting ourselves with digitally applied effects and makeup. We’re also starting to find utility for AR in the workplace and with hardware designed specifically for the enterprise market.

With apologies to author https://en.wikiquote.org/wiki/William_Gibson” target=”_blank” rel=” nofollow noopener noreferrer” data-ga-track=” ExternalLink: https://en.wikiquote.org/wiki/William_Gibson”>William Gibson, who originally pointed out that “the future is already here, it’s just not very distributed,” we can say that the impact of artificial intelligence (AI) is here, but that’s just not so very evenly distributed either. But that’s okay, for now. That’s because when it comes to AI, every industry has a different story to tell.

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