Concept one of 20 to make semi-finals of Drones for Good competition, intended to steer technology towards improving lives Skynet builds on plans by Amazon and Google to deliver small packages by drone. A futuristic mailbox designed in Townsville has made the semi-finals of the inaugural million-dollar Drones for Good prize, an international contest intended to steer drone development towards improving people’s lives. Royal Australian Air Force corporal Clinton Burchat’s ominously named Skynet builds on plans by Amazon and Google to deliver small packages by drone. The tech giants are struggling to secure regulatory approval for drone delivery, which the Amazon boss, Jeff Bezos, predicts is still at least four or five years away. Burchat foresees more practical challenges to the plan. “I think the final few metres of the delivery will be the hardest part,” he said. “Amazon wants to land a drone in your backyard. Google wants to hover above your backyard and drop the package by string.

But that’s no good if you don’t have a backyard; or it could come into contact with children or pets.”Along with his tech-savvy partner on the project, the electronics engineer Grant Bajema, Burchat has designed a barcoded and GPS-tagged net that he believes could be mounted on the homes, balconies and backyards of the near future. GPS could guide the drones to within sight of the net, and LED lights mounted on its corner would shepherd the aircraft the final few metres. “From there, they’d read the barcode on the net, confirm it’s the net that it’s looking for, and then drop the delivery.” Their concept was one of 20 to make the semi-finals of Drones for Good, a prize set up this year by the United Arab Emirates, in a region where drones have particularly terrifying connotations. The opulent gulf state wants to lead what it predicts will be a $10bn industry by 2025, and has offered a US$1m prize to the most promising concept. Burchat will fly to Dubai in February for a two-stage competition, involving a five-minute presentation on the first day followed by a second, more detailed pitch to the judges the next.

Yet to be invented is a sensor, mounted on the drone, that could recognise the LED lights on the net then scan its unique barcode – though a million dollars would certainly help move development along. A long-range search-and-rescue drone that could fly in rough weather to deliver aid and collect information in sea disasters is another contender for the prize money. Drones equipped with mapping systems to collect data on dense and sprawling slums – to help in planning and emergency operations – are also in the running. You will be prompted to enter your password on the next pageGet Latest Articles to Your Inbox Last year, the leaked documents detailing the NSA's SKYNET programme published by The Intercept showed that NSA had used a machine learning algorithm on the cellular network metadata of 55 Million people in Pakistan to rate each citizen's likelihood of being a terrorist. Elementary Errors in SKYNET One of the leaked slides claimed that SKYNET has a false-positive rate of 0.008%, in some cases, and the NSA was using about 55 million people’s phone records for SKYNET.

But, Ars Technica points out that, even at this minute rate, many innocent people are possibly mislabeled. Some of the NSA's tests even saw higher error rates of 0.18%, which means mislabeling nearly 99,000 people out of the 55 Million. "There are very few 'known terrorists' to use to train and test the model," Patrick Ball, the executive director of Human Rights Data Analysis Group, told the site. black ops 2 drone spots"If they are using the same records to train the model as they are using to test the model, their assessment of the fit is completely bullshit."ar drone 2 ebay de US Drone Strike Killed Almost 4,000 Peoplear drone 2 ebay de Since 2004, the United States government has carried out hundreds of drone strikes against alleged terrorists in Pakistan and killed somewhere between 2,500 and 4,000 people, the Bureau of Investigative Journalism reported.parrot ar drone reservdelar

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