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      "title": "How Technology Is Changing Disaster Relief",
      "body": "Consider the efforts of the United Kingdom’s Royal Air Force in distributing to refugees in Northern Iraq the following: water; food; and the technology needed to communicate -- power for mobile phones. Lane describes the initiative:\n\nAlongside tents and drinking water, RAF planes dropped more than 1,000 solar-powered lanterns attached to chargers for all types of mobile handsets to the stranded members of the Yazidi religious community below.\n\nIt is the first time the lanterns have been airdropped in such a relief effort, but humanitarian workers say it is part of growing efforts to develop technology designed to make a difference in disaster zones.\n\nImagine a solar-powered lantern that you might take camping with an umbilical cord to a power source with connections to myriad types of phones. The inability to communicate during crisis situations is debilitating, and becomes more so within days (see below).\n\nIn a separate project, Dr Paul Gardner-Stephen of Australia invented a “mesh network” that lets people in emergencies communicate via mobile even if they have no Internet connection. Users can send text messages, make calls and send files to other users nearby, creating a mobile network through a web of users. Why is this so important during times of crisis such as war zones or earthquakes? Gardner-Stephen states:\n\nYou typically have about three days to restore communications before the bad people realize the good people aren't in control any more.\n\nHe adds succinctly, throwing down a gauntlet:\n\nThere's plenty of technology for rich white men. It's the rest of the world that we need to help.\n\nAs he introduces us to the Sunlite solar-powered lantern, Lane provides a welcome reminder not only of the wonders of technology being used in developing countries, but the need for even more innovation and distribution of technology and knowledge worldwide.![sol.jpg](https://steemitimages.com/DQmVsQYia7vaQ8atVdKUxm7Wrh2gTqWYNeh6PLSdKMyQ4QG/sol.jpg)",
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      "title": "The Most Expensive Cars In The World",
      "body": "The most expensive cars in the world are about so much more than transportation. These rolling art pieces encapsulate the priorities of the one percent, and in that universe, flamboyance and swagger take precedence over practicality and efficiency. Lifestyle criticisms aside, these are truly mind-boggling machines, and we’d like to count down our favorites for you here.\n\nFor the sake of clarity, we’re categorizing recently made, road-legal production vehicles only — limited runs notwithstanding — and we’re leaving out classic cars sold at auction. We’re also limiting the list to one entrant per nameplate, so don’t expect 10 different iterations of the same Bugatti Veyron. And these aren’t necessarily the fastest cars in the world (though many of them are damn fast).\n\nSo whether your name is Buffet, Gates, Bezos, or McDuck, these rides are for you — the most exorbitant people-carriers on the planet. They say money can’t buy happiness, but after viewing this list of the most expensive cars, you just might beg to differ.\n\nKoenigsegg makes its first appearance on our list with the CCXR Trevita, and it does so as the most expensive street-legal production car in the world. Why so much coin? With no exaggeration, the car is literally coated in diamonds … and diamonds aren’t cheap.\n\n\nFor the Trevita, the Swedish manufacturer developed a new exterior finish called the Koenigsegg Proprietary Diamond Weave, which involves coating carbon fibers with a diamond dust-impregnated resin. We can’t even fathom how much the touch-up paint costs.\n\n\nUnderneath the lustrous finish lies a 4.8-liter, dual-supercharged V8 with a total output of 1,004 horsepower and 797 pound-feet of torque, which means it should have little to no trouble overtaking semis on the freeway.  The car’s specifications — in both performance and price — are nearly comical at this point, and ju!\n\n![floyd-mayweather-is-buying-two-koenigsegg-ccxr-one-is-the-trevita-97248_1.jpg](https://steemitimages.com/DQmUvAZdzfDynh4VXuDcjSdcvjrGFqAhrZQDNzugcfNyEr9/floyd-mayweather-is-buying-two-koenigsegg-ccxr-one-is-the-trevita-97248_1.jpg)![koenigsegg_ccx_by_46sanduhr.jpg](https://steemitimages.com/DQmRYmpJfUaqQg5MtUiUCXpCzm5W8NyHv3fAyqz57qXWcFD/koenigsegg_ccx_by_46sanduhr.jpg)",
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      "title": "Self-Driving Trucks",
      "body": "two-lane Texas highway when he saw an oncoming car drift into his lane just a few hundred feet ahead. There was a ditch to his right and more oncoming cars to his left, so there was little for him to do but hit his horn and brake. “I could hear the man who taught me to drive telling me what he always said was rule number one: ‘Don’t hurt anybody,’” Mugriyev recalls.\n\nBut it wasn’t going to work out that way. The errant car collided with the front of Mugriyev’s truck. It shattered his front axle, and he struggled to keep his truck and the wrecked car now fused to it from hitting anyone else as it barreled down the road. After Mugriyev finally came to a stop, he learned that the woman driving the car had been killed in the collision.\n\nCould a computer have done better at the wheel? Or would it have done worse?\n\nWe will probably find out in the next few years, because multiple companies are now testing self-driving trucks. Although many technical problems are still unresolved, proponents claim that self-driving trucks will be safer and less costly. “This system often drives better than I do,” says Greg Murphy, who’s been a professional truck driver for 40 years. He now serves as a safety backup driver during tests of self-driving trucks by Otto, a San Francisco company that outfits trucks with the equipment needed to drive themselves.\n\nAt first glance, the opportunities and challenges posed by self-driving trucks might seem to merely echo those associated with self-driving cars. But trucks aren’t just long cars. For one thing, the economic rationale for self-driving trucks might be even stronger than the one for driverless cars. Autonomous trucks can coördinate their movements to platoon closely together over long stretches of highway, cutting down on wind drag and saving on fuel. And letting the truck drive itself part of the time figures to help truckers complete their routes sooner.\n\nBut the technological obstacles facing autonomous trucks are higher than the ones for self-driving cars. Otto and other companies will need to demonstrate that sensors and code can match the situational awareness of a professional trucker—skills honed by years of experience and training in piloting an easily destabilized juggernaut, with the momentum of 25 Honda Accords, in the face of confusing road hazards, poor surface conditions, and unpredictable car drivers.\n\n“We’re not waiting”![yy.png](https://steemitimages.com/DQmWXVjZejtN9ukxjGMjtdHVUCadV7tqZZKmrbNFJu57VYY/yy.png)",
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      "title": "Paying with Your Face",
      "body": "Technology from Face is already being used in several popular apps. It is possible to transfer money through Alipay, a mobile payment app used by more than 120 million people in China, using only your face as credentials. Meanwhile, Didi, China’s dominant ride-hailing company, uses the Face++ software to let passengers confirm that the person behind the wheel is a legitimate driver.\n\nThe technology figures to take off in China first because of the country’s attitudes toward surveillance and privacy. Unlike, say, the United States, China has a large centralized database of ID card photos. During my time at Face++, I saw how local governments are using its software to identify suspected criminals in video from surveillance cameras, which are omnipresent in the country. This is especially impressive—albeit somewhat dystopian—because the footage analyzed is far from perfect, and because mug shots or other images on file may be several years old.\n\nFacial recognition has existed for decades, but only now is it accurate enough to be used in secure financial transactions. The new versions use deep learning, an artificial-intelligence technique that is especially effective for image recognition because it makes a computer zero in on the facial features that will most reliably identify a person.\n\n“The face recognition market is huge,” says Shiliang Zhang, an assistant professor at Peking University who specializes in machine learning and image processing. Zhang heads a lab not far from the offices of Face. When I arrived, his students were working away furiously in a dozen or so cubicles. “In China security is very important, and we also have lots of people,” he says. “Lots of companies are working on it.”![pay-with-face-02-1200x650-1200x650.jpg](https://steemitimages.com/DQmQMNANxrrSFTd7LZFWtjzQCv3FxMHe4UxTmGHa1whqPNf/pay-with-face-02-1200x650-1200x650.jpg)",
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      "author": "steemitboard",
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      "body": "Congratulations @walidsmahi! You have completed some achievement on Steemit and have been rewarded with new badge(s) :\n\n[![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/firstcomment.png)](http://steemitboard.com/@walidsmahi) You made your First Comment\n\nClick on any badge to view your own Board of Honor on SteemitBoard.\nFor more information about SteemitBoard, click [here](https://steemit.com/@steemitboard)\n\nIf you no longer want to receive notifications, reply to this comment with the word `STOP`\n\n> By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!",
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