Legal disputes in e-commerce, digital copyrights and other internet-based contracts in China can now be settled without requiring plaintiffs or defendants to abandon the comfort of their easy chairs at home.
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The Internet of Things is a fascinating concept that has occupied our minds for decades, only this time around, it’s a reality. IoT opens up a world of possibilities. The benefits are obvious….
…While that is all great, the problem with IoT is that it’s a centralized system, meaning that all devices are connected online inside the cloud. But such communication is far from optimal in case they are only a few feet apart, which is often the case with household electronics. And there is also the fact that, as the IoT becomes more present, it requires a much larger and more complex infrastructure, which will drive the price up, according to Mitch Bailey, who is the head of IT for Assignment Masters. He also points out that the solution might lie within blockchain, which is what Bitcoin relies on today.
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This post is adapted from the blog of Earnest, a Priceonomics Data Studio customer.
Coined shortly after the financial crisis in 2009, the so-called “gig economy” or “sharing economy” refers to the growing cadre of companies like Airbnb, Lyft, and TaskRabbit—platforms that employ temporary workers who provide a wide variety of services: delivery, ridesharing, rentals, and odd jobs. A recent Pew study estimated that nearly a quarter of all Americans earn some money through these platforms.
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It’s no secret that Facebook’s judgment calls on risky content are sometimes more than a little problematic. But just what are the rules guiding those decisions? You’ll know after today.
The Guardian has obtained leaked copies of over 100 internal documents outlining Facebook’s rules for handling sensitive content, and it’s clear that the social network is struggling to walk a fine line between freedom of expression and protecting users. At least some of it is understandable, but there are areas where its decision-making might rub you the wrong way.
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It doesn’t take too long before your typical “smart” gadget becomes dumb. After a few years, the hardware inside of your TV or connected refrigerator will be hopelessly out of date. And if you want to upgrade, your only choice right now is to buy a whole new device.
Intel is hoping to change that with the Compute Card, a credit card-size device that packs in all of the hardware — a processor, memory, storage and networking capabilities — needed to make any device smart.
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Look inside a modern car, and you’ll see many of the same materials that formed the earliest automobiles. Leather, wood, metal, and cloth convey a sense of luxury, a connection to the beloved way things were. You may see synthetic stuff too, materials born of the jet and space ages.
As the auto industry adapts to a smartphone-enabled world and looks to the potentially radical changes offered by autonomy, sharing, and alternative powertrains, what you touch and feel inside the car has once again drawn the attention of the world’s designers.
Consumers have other concerns. Vegan leather substitutes, fast-growing and readily renewable woods like bamboo or banana leaf, and recycled fabric blends cater to a newly popular interest in sustainability.
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If I asked you “how many computing devices do you own?” your mind will probably first jump to your PCs and laptops at home, and then to your smartphones and tablets. The more tech savvy might include smartwatches, TVs, and video game systems. But there’s one computing device that not many people think about as a computing device: the car infotainment system.
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One persistent criticism of Silicon Valley is that it no longer works on big, world-changing ideas. Every few months, a dumb start-up will make the news — most recently the one selling a $700 juicer — and folks outside the tech industry will begin singing I-told-you-sos.
But don’t be fooled by expensive juice. The idea that Silicon Valley no longer funds big things isn’t just wrong, but also obtuse and fairly dangerous.
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As I have written in my last two articles (Machine Learning Everywhere and Preparing Data for Machine Learning), machine learning is influencing our lives in numerous ways.
Machine learning is everywhere, and although the theory and practice both can take some time to learn and internalize, the basics are fairly straightforward for people to learn.
The basic idea behind machine learning is that you build a model—a description of the ways the inputs and outputs are related. This model then allows you to ask the computer to analyze new data and to predict the outputs for new sets of inputs. This is essentially what machine learning is all about.
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An Indian teenager has won an international competition to build a functioning satellite, and not only has he produced what is reportedly the world’s lightest satellite device – NASA has also agreed to launch it next month.
The tiny satellite weighs just 64 grams (0.14 lb), and will embark on a 4-hour sub-orbital mission launched from NASA’s Wallops Flight Facility in Virginia on June 21. Once positioned in microgravity, its main objective will be to test the durability of its extremely light, 3D-printed casing.
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