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Digital builds: The technology taking construction to the next level

In July 2018, The Engineer examined how modular fabrication techniques are reshaping the construction industry, enabling clean builds that are cost-effective and time efficient. But while off-site assembly brings many advantages, it can also be restrictive. This has prompted a new wave of engineers to bring the latest technology on-site, elevating the pre-fab to the fabulous.

According to Andrew Watts, CEO of engineering technology firm Newtecnic, this trend is part of a new era of digital construction where robots and drones will become commonplace on site. Digitalisation has penetrated virtually every aspect of design and engineering, but in many ways physical construction itself has remained a stubbornly analogue process, centuries of accumulated human expertise resisting the allure of ones and zeroes, and human hands still doing much of the heavy lifting. Newtecnic’s Construction Labs concept is aiming to change that, merging modular building with on-site construction to deliver perfect finishes on major public buildings.

“We’re using Construction Labs to realise complex projects,” Watts told The Engineer. “Its specific use is in the construction of facades and applications and connections for primary structures.”

AI vs. God: Who Stays and Who Leaves?

Scientific progress, and Internet and mobile coverage proliferation in the last 8 years alone might have decreased the numbers dramatically. Still not as much as to liquidate the spiritual beliefs of the vast majority of the world’s population.


Does God exist? If She does, this is how we got our sacred soul. If She does not, we will soon be able to recreate the soul in machines!

Employees at Google, Amazon and Microsoft Have Threatened to Walk Off the Job Over the Use of AI

There is. Our engagement with AI will transform us. Technology always does, even while we are busy using it to reinvent our world. The introduction of the machine gun by Richard Gatling during America’s Civil War, and its massive role in World War I, obliterated our ideas of military gallantry and chivalry and emblazoned in our minds Wilfred Owen’s imagery of young men who “die as Cattle.” The computer revolution beginning after World War II ushered in a way of understanding and talking about the mind in terms of hardware, wiring and rewiring that still dominates neurology. How will AI change us? How has it changed us already? For example, what does reliance on navigational aids like Waze do to our sense of adventure? What happens to our ability to make everyday practical judgments when so many of these judgments—in areas as diverse as credit worthiness, human resources, sentencing, police force allocation—are outsourced to algorithms? If our ability to make good moral judgments depends on actually making them—on developing, through practice and habit, what Aristotle called “practical wisdom”—what happens when we lose the habit? What becomes of our capacity for patience when more and more of our trivial interests and requests are predicted and immediately met by artificially intelligent assistants like Siri and Alexa? Does a child who interacts imperiously with these assistants take that habit of imperious interaction to other aspects of her life? It’s hard to know how exactly AI will alter us. Our concerns about the fairness and safety of the technology are more concrete and easier to grasp. But the abstract, philosophical question of how AI will impact what it means to be human is more fundamental and cannot be overlooked. The engineers are right to worry. But the stakes are higher than they think.

Facebook’s chief AI scientist says that Silicon Valley needs to work more closely with academia to build the future of artificial intelligence

That’s what we are after, with AI. Understanding intelligence in machines, animals and humans, is one of the great scientific challenges of our times and building intelligent machines is one of the greatest technological challenges of our times. No single entity in industry, academia or public research has a monopoly on the good ideas that will achieve these goals. It’s going to take the combined effort of the entire research community to make progress in the science and technology of intelligence.


Facebook is taking an unusual recruitment model championed in law and medicine and applying it to artificial intelligence — and it’s working.

On Using Hyperopt: Advanced Machine Learning

In Machine Learning one of the biggest problem faced by the practitioners in the process is choosing the correct set of hyper-parameters. And it takes a lot of time in tuning them accordingly, to stretch the accuracy numbers.

For instance lets take, SVC from well known library Scikit-Learn, class implements the Support Vector Machine algorithm for classification which contains more than 10 hyperparameters, now adjusting all ten to minimize the loss is very difficult just by using hit and trial. Though Scikit-Learn provides Grid Search and Random Search, but the algorithms are brute force and exhaustive, however hyperopt implements distributed asynchronous algorithm for hyperparameter optimization.

Elon Musk is fulfilling Thomas Edison’s energy dreams | Michio Kaku

I think we have finally entered the rapid exponential runaway phase of the technological Singularity. As we’ve already seen in the last year year-and-a-half, we are in an era of unprecedented chaos and innovation. The invention of multifidus AI is, of course, the driver of the singularity and as we move forward people like Musk will become ever more importance to the future of our species.


Having a president like Donald Trump can I think, be taken as just another symptom of this period of time. It might not seem like Donald Trump has anything to do with the singularity. He, PERSONALLY, doesn’t, really. But the methods of his madness are the salient data point here. His use of Twitter VERY quickly changed the way millions of people communicate. It changed how they view the world, and their place within it. They have fallen to theiir knees in hypocritically and ENTIRELY UNFORGIVEABLE SUBMISSION to the SICKLY malevolent STUPIDITY that is embodied in the orange, spoiled meat named Donald J Trump. The Right has finally drunk the Kool-Aid that they’ve been serving everyone else for years and found it to be most unpleasantly bitter. They have been bitten by the hand that feeds them.

Five of the scariest predictions about artificial intelligence

AI is a buzzword that gets tossed around often in the business world and in the media, but it is already having tangible effects for a slew of industries — not least those that rely on a significant amount of manual labor.

As AI comes increasingly closer to maturity, and businesses continue to ramp up investments in it, some worry that not enough attention is being paid to the broader social and moral implications of the technology.

CNBC spoke with some experts to see what they think are the five scariest potential future scenarios for AI.

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