Archive of ‘educational technology’ category

Broadband China US

China’s Fiber Broadband Internet Approaches Nationwide Coverage; United States Lags Severely Behind from r/technology

China’s Fiber Broadband Internet Approaches Nationwide Coverage; United States Lags Severely Behind 

In 2013, 17 percent of consumers in both China and the U.S. had access to a fiber internet connection. Fast forward to 2019, China’s penetration has jumped to 86 percent while the U.S. is only at 25 percent.

Despite the constant posturing and discussion about the importance of fiber, the U.S. has not been effective at deploying a nationwide fiber optical network. Why is this?

LACK OF PRIVATE COMPETITION

INADEQUATE BROADBAND MAPPING

INEFFICIENT NATIONAL FUNDING PROGRAMS

ABSENCE OF COMMON SENSE STATE-LEVEL INFRASTRUCTURE POLICIES

Unlike America, virtually all of the access points that make up the internet “backbone” in China are state-owned, with private providers only able to lease out bandwidth from the government. The communist government’s plans extend beyond its own borders as well; the Belt and Road Initiative includes plans for direct investment in infrastructure spanning nearly 70 different countries, potentially giving China a vice grip on internet innovation if left unchecked by the West.

CHINA LEADS IN 5G DEPLOYMENT AS WELL

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more on broadband in this IMS blog
http://blog.stcloudstate.edu/ims?s=broadband

McMindfulness

McMindfulness: how capitalism hijacked the Buddhist teaching of mindfulness

https://www.cbc.ca/radio/tapestry/mcmindfulness-and-the-case-for-small-talk-1.5369984/mcmindfulness-how-capitalism-hijacked-the-buddhist-teaching-of-mindfulness-1.5369991

On McMindfulness

dthic

quote the former Buddhist monk Clark Strand here. This was in a review of your work. “None of us dreamed that mindfulness would become so popular or even lucrative, much less that it would be used as a way to keep millions of us sleeping soundly through some of the worst cultural excesses in human history, all while fooling us into thinking we were awake and quiet.”

corporate mindfulness programs are now quite popular. And as we all know, most employees these days are extremely stressed out. The Gallup poll that came out about four or five years ago said that corporations — and this is in the U.S. — are losing approximately 300 billion dollars a year from stress-related absences and seven out of ten employees report being disengaged from their work.

The remedy has now become mindfulness, where employees are then trained individually to learn how to cope and adjust to these toxic corporate conditions rather than launching kind of a diagnosis of the systemic causes of stress not only in corporations but in our society at large. That sort of dialogue, that sort of inquiry, is not happening.

An integrity bubble is where there is a small oasis within a corporation –  for example let’s take Google because that’s a great example of it.

You have a small group of engineers who are getting individual level benefits from corporate mindfulness training. They’re learning how to de-stress. Google engineers [are] working 60-70 hours a week – very stressful. So they’re getting individual level benefits while not questioning the digital distraction technologies [that] Google engineers are actually trying to work on. Those issues are not taken into account in a kind of mindful way.

So you become mindful, to become more productive, to produce technologies of mass distraction, which is quite an irony in many ways. A sad irony actually.

mindfulness could be revolutionized in a way that does not denigrate the therapeutic benefits of self-care, but it becomes interdependent with these causes and conditions of suffering which go beyond just individuals.

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more on mindfulness in this IMS blog
http://blog.stcloudstate.edu/ims?s=mindfulness

AI laptops

https://www.cnet.com/news/intel-will-build-ai-brains-into-your-laptop-for-tomorrows-speed-boost/

AI computing involves two phases: training and inference. Training requires computers that can process enormous amounts of data. For example, getting an AI system to recognize what’s in photographs requires a computer to sort through billions of labeled photos to create a model. That model is used in the second step to infer, or identify, what’s in a specific photo.

Intel already sells its Nervana chips for training and inference to data centers packed with servers, computing infrastructure that often powers services at AI-heavy companies such as Google and Facebook. Intel is now shipping its larger, more expensive and power-hungry Nervana NNP-T chips for training and its smaller NNP-I chips for inference, the chipmaker announced.

phone camera for landscapes

https://www.cnet.com/how-to/how-to-take-amazing-landscape-photos-using-your-phones-camera

he latest crop of phones like the iPhone 1111 ProSamsung Galaxy S10 PlusOnePlus 7 Pro or Google Pixel 4

If your phone doesn’t have a built-in wide-angle mode (as you’ll find on the iPhone 11 ($699 at Amazon) series or Galaxy S10 Plus), you should take a look at Moment’s range of clip-on phone lenses, available for all recent iPhones, Galaxy phones, Pixels and OnePlus phones.

Moment also makes filter adapters for screw-in 62mm filters, such as polarizers, which can help reduce reflections on water or boost the blues in the sky. Filter adapters also let you use professional-quality square Lee Filters, which slide into a holder connected to the adapter via a 62mm adapter ring.

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