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The categories of AI.


Click here to learn more about author James Kobielus.

Artificial intelligence (AI) is all the rage these days. However, people often overlook the fact that it’s a truly ancient vogue. I can’t think of another current high-tech mania whose hype curve got going during the days when Ike was in the White House, “I Love Lucy” was on the small screen, and programming in assembly language was state of the art.

As AI’s adoption grows, we run the risk of belittling the technology’s potential if we continue to fixate on the notion that it’s “artificial.” When you think of it, all technologies are artificial, pretty much by definition. Cars are artificial transportation, houses are artificial shelters, and so on.

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SALT LAKE CITY, Nov. 14, 2016 /PRNewswire/ IBM (NYSE: IBM) and NVIDIA (NVDA)today announced collaboration on a new deep learning tool optimized for the latest IBM and NVIDIA technologies to help train computers to think and learn in more human-like ways at a faster pace.

Deep learning is a fast growing machine learning method that extracts information by crunching through millions of pieces of data to detect and rank the most important aspects from the data. Publicly supported among leading consumer web and mobile application companies, deep learning is quickly being adopted by more traditional business enterprises.

Deep learning and other artificial intelligence capabilities are being used across a wide range of industry sectors; in banking to advance fraud detection through facial recognition; in automotive for self-driving automobiles and in retail for fully automated call centers with computers that can better understand speech and answer questions.

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No autonomous cars, planes, ships, weapons (not sure I would even still want these), and other robots for me until we have our Net and other infrastructure replaced with QC.


It seems that all of Silicon Valley is designing artificial intelligence for driverless cars. But before we hand over our driving to computers, Charlie Miller, a well-known computer security researcher, would like car companies to pay attention to security.

Miller, who is a security engineer at Uber’s advanced technology center, spent a few years looking into the security of automobiles. And what he found didn’t impress him. He and his friend Chris Valasek hacked a Jeep remotely in 2014, and, after a series of denials from the car company, Chrysler had to announce a recall of 1.4 million vehicles. Miller gave a scary and hilarious talk at the recent ARM TechCon event in Santa Clara, Calif.

“Hopefully, things are going to get better, but we are not in such great shape now,” said Miller. “I want [car makers] to be working on security, and I would love greater transparency. I would love to see white papers written by car makers on exactly how their systems are designed for security. Then I could spend a weekend reading their white paper rather than two years tearing apart their cars.”

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It seems like every television season plays host to a single show that takes over our cultural consciousness by coating modern fears in fantastical drama.

Game of Thrones taps into the cutthroat nature of modern politics, while The Walking Dead plays into our ever-present fear of a worldwide contagion. This year, with Elon Musk’s dire warnings about the dangers of artificial intelligence, Siri and Alexa permeating our personal lives, and self-driving cars threatening to run down groups of children, Westworld is posed to be that show.

Westworld is complex. It’s that complexity, interwoven with mysteries and plot twists, that produces the hours of online speculation and wild fan theories that are the hallmark of anything worth watching.

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For most people, icy conditions mean a slippery pavement or trying to chip the car out of a freezing glaze, but icing can also bring down aircraft, snap power lines, and cause a surprising amount of structural damage. Now scientists at the University of Houston (UH) have come up with a surprising solution – and it involves magnets.

The problem with icing is that when droplets of freezing or supercooled water strike a surface, they wet or adhere to it, so more and more droplets can join the party. To de-ice a surface, you need to either melt the ice, break it off, dissolve it, or alter the surface so the ice can’t stick to it in the first place.

According to Hadi Ghasemi from the UH Department of Mechanical Engineering, “icephobic” surfaces that are non-wetting or liquid infused have shown promise in the past, but suffer from high freezing temperatures, high ice adhesion strength, and high cost.

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I figured that if Elon Musk’s Hyperloop system ever became reality, it would essentially be a super-fast train system. Meaning we’d enter at a Hyperloop station in L.A. and exit at a Hyperloop station in San Francisco. But the forthcoming Hyperloop One system in Dubai, designed by Bjarke Ingels Group, will actually get riders from door to door.

To explain: Hyperloop One, which signed a deal with the Dubai Roads and Transport Authority, has BIG providing the design muscle. The collaboration has yielded the idea that self-driving Hyperpods could pick passengers up anywhere in the city, like an Uber. These six-person-capacity Hyperpods would then drive to the Hyperportal and load itself onto a Transport Capsule, the actual thing that shoots through the Hyperloop tube. At the other end, the ‘pod exits the Transport Capsule and drives the passengers to their destination.

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