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Tuesday, July 3rd, 2018

    Time Event
    2:20a
    Economists Worry We Aren't Prepared For the Fallout From Automation
    A new paper from the Center for Global Development says we are spending too much time discussing whether robots can take your job and not enough time discussing what happens next. The Verge reports: The paper's authors, Lukas Schlogl and Andy Sumner, say it's impossible to know exactly how many jobs will be destroyed or disrupted by new technology. But, they add, it's fairly certain there are going to be significant effects -- especially in developing economies, where the labor market is skewed toward work that requires the sort of routine, manual labor that's so susceptible to automation. Think unskilled jobs in factories or agriculture. One class of solution they call "quasi-Luddite" -- measures that try to stall or reverse the trend of automation. These include taxes on goods made with robots (or taxes on the robots themselves) and regulations that make it difficult to automate existing jobs. They suggest that these measures are challenging to implement in "an open economy," because if automation makes for cheaper goods or services, then customers will naturally look for them elsewhere; i.e. outside the area covered by such regulations. [...] The other class of solution they call "coping strategies," which tend to focus on one of two things: re-skilling workers whose jobs are threatened by automation or providing economic safety nets to those affected (for example, a universal basic income or UBI). They conclude that there's simply not enough work being done researching the political and economic solutions to what could be a growing global crisis. "Questions like profitability, labor regulations, unionization, and corporate-social expectations will be at least as important as technical constraints in determining which jobs get automated," they write.

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    10:00a
    As Cryptocurrency Values Plummet, Graphics Card Pricing Improves Dramatically
    MojoKid writes: In recent months, the cryptocurrency industry has taken a sharp downturn in valuations of virtually all major currencies, from Bitcoin to Ethereum. As a result, cryptocurrency mining itself has become significantly less lucrative for the average miner. In addition, demand on GPUs from the major OEM suppliers like NVIDIA and AMD, has fallen off dramatically as well. Cryptocurrency miner demand for graphics cards has fallen so much so, that pricing of board partner brands like EVGA, Asus, MSI, Gigabyte and others, has returned basically to MSRP levels. This is compared to the sharp price gouging that was going on earlier in 2018 and late last year, when demand was far out-stripping supply. In fact, reports are emerging now that another approximate 20 percent price drop could be coming to GPUs this month, especially as NVIDIA is expected to launch its next generation gaming graphics card very soon. Whether or not this is indicative of some sort of cryptocurrency bubble burst remains to be seen. However, for now, gamers and PC enthusiasts are likely breathing a sigh of relief, as better supply/demand dynamics are clearly in sight.

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    10:20p
    Micron Chip Sales Banned In China On Patent Case
    A Chinese court temporarily banned Micron Technology chip sales, cutting the U.S. company off from the world's largest semiconductor market. The news comes from Taiwanese rival United Microelectronics Corporation (UMC). Bloomberg reports: In a patent ruling in favor of UMC, the Fuzhou Intermediate Peopleâ(TM)s Court of the Peopleâ(TM)s Republic of China issued a preliminary injunction stopping Micron from selling 26 products, including dynamic random access memory and Nand flash memory-related products, UMC said in a statement Tuesday. Micron said it hasnâ(TM)t been served with the injunction and wonâ(TM)t comment until it does. The case is part of a broader dispute between the two companies centering on accusations that UMC acted as a conduit for the theft of Micronâ(TM)s designs in an attempt to help China grow its domestic chip industry and replace imports that rival oil in total value. A Chinese antitrust regulator is already investigating Micron and its Korean rivals, the companies have said. Local media has reported that authorities are looking into increases in chip prices.

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    11:40p
    Juggalos Figured Out How To Beat Facial Recognition
    An anonymous reader quotes a report from The Outline: As if they weren't already doing the absolute most, the die-hard fans of the rap group Insane Clown Posse have become accidental heroes for people concerned about facial recognition tech: According to Twitter user @tahkion, a computer science blogger for WonderHowTo, Juggalo makeup outmatches the machine learning algorithms that govern facial recognition technology. In a series of follow-up tweets, @tahkion explained that facial recognition works by pinpointing the areas of contrast on a human face -- for instance, where a nose is located, or where the chin becomes the neck. As it happens, juggalo makeup often involves applying black paint below the mouth, but above the chin. That makes facial recognition vulnerable to misidentifying the placement of the jaw. Face-painting styles like "corpse" makeup also obscure the face. However, they don't create enough contrast to effectively confuse most facial recognition systems. Dramatic styles of feminine makeup, like heavy eyeliner, also are generally not enough to confuse facial recognition systems, @tahkion claims. However, facial recognition tech such as Apple's Face ID, which does not rely on visible light and uses depth perception, would not be tricked by juggalo makeup.

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