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Quantum entanglement on demand could lead to a super-secure internet
If you're going to create virtually unbreakable quantum networks, you need to create quantum entanglement so that particles, and thus pieces of data, are intertwined at long distances. There hasn't been a reliable way to make that happen, however, until now. Scientists at TU Delft have produced the first entanglement on demand -- that is, they can reliably trigger the quantum pairing effect and make it last long enough to be meaningful. The effect only worked across two nodes and a modest distance of about 6.6 feet, but it raises the possibility of a quantum internet that's far more secure than what you see today.
Self-repairing roads could also charge your electric car
Potholes are bad enough for the jarring rides, car damage and safety hazards they create, but it's also problematic to fix them. You're looking at lane and road closures that can last for days, assuming the city can even spare the resources. However, Dutch researchers might have a solution that not only helps the road fix itself, but promises to solve range anxiety for electric car drivers. Delft University's Erik Schlangen tells The Verge that there are plans to test self-repairing asphalt whose conductive steel fibers and bacteria would both fix small cracks in the pavement and send electricity to EVs above. The trial will charge your vehicles when you're stopped at intersections, giving you a little bit of extra range in those moments you're waiting for the light to turn green.
Drone flies as both biplane and helicopter using one propeller
There are helicopter drones and fixed-wing drones, but creating a hybrid of both is tricky. Even Parrot's Swing, as clever as it is, needs four propellers and elaborate wings to pull off its stunt. However, TU Delft (with backing from Parrot) has a far more elegant solution. Its DelftAcopter drone doubles as both a fixed-wing aircraft and a helicopter using only one propeller -- its tailless biplane design lets it take off and hover vertically, but gracefully turn into a fast-moving airplane (up to 62MPH) at a moment's notice. It's an incredibly simple design that makes you wonder why someone hadn't considered it for drones before.
Atom-scale storage holds 62TB in a square inch
Storage tech doesn't get much better than this. Scientists at TU Delft have developed a technique that uses chlorine atom positions as data bits, letting the team fit 1KB of information into an area just 100 nanometers wide. That may not sound like much, but it amounts to a whopping 62.5TB per square inch -- about 500 times denser than the best hard drives. The scientists coded their data by using a scanning tunneling microscope to shuffle the chlorine atoms around a surface of copper atoms, creating data blocks where QR code-style markers indicate both their location and whether or not they're in good condition.
Amazon robot challenge winner counts on deep learning AI
Amazon's robot Picking Challenge is back for a second year, and it's clear that the competition has learned a lot in that time... in more ways than one. The Netherlands' TU Delft won both parts of the challenge (stowing and picking warehouse items) with a robot that relied on the combination of deep learning artificial intelligence and depth-sensing cameras to get the job done. The machine studied 3D scans of the stockroom items to help it decide how to manipulate items with its gripper and suction cup. That adaptive AI made a big difference, to put it mildly. The arm got a near-flawless score in the stowing half of the event, and was over three times faster at picking objects than last year's champion (100 per hour versus 30).
DARPA's crowdsourced UAV competition heats up, takes off (video)
Late last year, DARPA launched UAVForge -- a competition that invites contestants to create their very own unmanned aerial vehicles, and submit them for voter-based evaluation. The project is far from over, but competing teams have already started sending in their proof-of-flight videos, giving us a glimpse of what's to come. So far, it looks like the GremLion UAV (pictured above) is the early favorite, after coming out victorious in the first round of voting. Developed by a team from the National University of Singapore, the GremLion looks like a bite-sized Death Star and flies around using a coaxial set of rotors that expand tulip-style out of its shell. Also included in the UAVForge showdown is a guy known as X-MAUS -- an Arduino-controlled quadcopter that can apparently transform into a more aerodynamic plane form upon liftoff. And, rounding out the list of notables is a submission from TU Delft known as the QuadShot, which is basically a miniature B-Wing from Star Wars. Except it's real. Hit up the break to see all three in action.
NEMS takes step forward, MEMS looking nervously over shoulder
Just as it's starting to seem like MEMS motion sensor technology is gaining more widespread use, we're now hearing rumblings of activity from the developers of its eventual successor: NEMS (Nano-Electro-Mechanical Systems). To contextualize this discussion (and to give laypeople a shot at understanding), MEMS sensors are the magic behind the Wii MotionPlus as well as a stunning tech demo recently conducted on a Toshiba TG01. The nascent nano version promises even greater sensitivity, and now scientists from TU Delft in the Netherlands claim they have successfully measured the influence of a single electron on an 800nm-long carbon nanowire. Just detecting such an event is a feat in itself, while the ability to measure its effects can be used in a huge range of ways: from transportation and medicine to ultra-sensitive gaming controllers. While accurate comparisons between the Dutch breakthrough and current generation sensors cannot yet be drawn, we can confidently say that this marks an important step toward making our dreams of playing a nanoscale piano a gargantuan reality.
Flame is the world's most advanced -- and Dutch -- walking robot
Walking robots never cease to amaze, but "Flame" from TU Delft PhD student Daan Hobbelen is what we like to call a mega breakthrough. By mimicking the way that humans actually fall forward when walking, this robot comes insanely close to the real thing. Usually, walking robots are energy-hungry propositions, but this is the first that's both efficient and stable. Inside Flame are seven motors and a balance "organ" loaded with stability algorithms. By measuring each step, the robot adjusts stance width, speed, and gait on the go. In the end, kids, we're looking at the world's most advanced and efficient walking robot. If you want to see this thing in action, head on over the read link where you can download a .wmv.
