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BOSTON, May 19 (UPI) — Engineers at MIT and Harvard have designed a tiny bee-like robot capable of pausing mid-flight to perch on a variety of objects before once again taking to the air. The robot uses static electricity to momentarily cling to the underside of objects.

Robots designed for aerial surveys and related observational tasks, like quadcopters, are currently limited by short flight times. They tend to run out of battery rather quickly. While perching won’t extend a drone’s actual time in the air, the technology could empower UAVs to employ their power more strategically — periodically taking a moment to rest their wings, or blades.

Researchers tested their technology on RoboBee, a bug-like flying robot no bigger than a quarter. A small jolt of static electricity emitted through a tiny foam patch on the bee’s head allows it to land on and adhere to the underside of a plant or to the ceiling.

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Google and Amazon were quick to put drones to use delivering orders.

But new research suggests delivery is just one small way drones are going to replace humans. The tiny airborne vessels will soon clean windows on skyscrapers, verify insurance claims and spray pesticide on crops.

The global market for drones, valued at around $2 billion today, will replace up to $127 billion worth of business services and human labour over the next four years, according to a new research by consulting firm PwC.

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Besides it not being a true space vehicle, XS-1 will be notable because it’ll be a drone, a robot space ship.

It will launch itself to the edge of space (basically 100 kilometers up there) and release its payload into LEO. It’s being called a plane because it’ll take-off and land like a plane on every mission.

DARPA’s toy will then be refueled and launched again. DARPA wants its space plane to be so reliable it can fly “10 times in 10 days.” DARPA expects the cost of a space plane flight to come to a measly $5 million compared to the $450 million once spent to launch a space shuttle.

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Movidius’ Myriad 2 vision processing chip (Photo: Movidius)

The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it’s about to injects smarts into every other object imaginable.

That’s because makers of silicon processors from giants such as Intel Corp. and Qualcomm Technologies Inc. as well as a raft of smaller companies are starting to embed deep learning software into their chips, particularly for mobile vision applications. In fairly short order, that’s likely to lead to much smarter phones, drones, robots, cameras, wearables and more.

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Nice; let’s hope they hit the right target.


“I need a stealth bomber that’s going to get close, and then it’s going to drop a whole bunch of smalls – some are decoys, some are jammers, some are [intelligence, surveillance, and reconnaissance] looking for where the SAMs are. Some of them are kamikaze airplanes that are going to kamikaze into those SAMs, and they’re cheap. You have maybe 100 or 1,000 surface-to-air missiles, but we’re going to hit you with 10,000 smalls, not 10,000 MQ-9s. That’s why we want smalls.”

SAMs stands for “Surface-to-Air Missile,” and they’re one of the reasons that the Air Force has invested so much in stealth technology over the years: if a missile can’t see a plane, it can’t hit it. The problem is that the economics don’t quite work that way: it’s easier to make a new, better missile than it is to make an existing airplane even stealthier, and modern Air Force fighters serve for around 30 years each—longer if they’re bombers. Missiles are generally cheaper than airplanes, so anyone who wants to protect against aerial attack just needs to invest in a lot of missiles.

f-22 f22 raptor inherent resolve arabian sea
US Air Force photo by Staff Sgt. Corey Hook As stealthy as planes can be, missiles can always be made to find them.

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I am so glad to see this from Bill. Until we drastically improve the under pinning technology to an advance mature version of Quantum Computing; AI is not a threat in the non-criminal use. The only danger is when terrorists, drug cartels, and other criminals uses AI such as drones, robotics, bots, etc. to attack, burglarize, murder, apply their terror, etc.; and that is not AI doing these things on their own.


Munger, Gates on future of AI

Charlie Munger, Berkshire Hathaway vice-chairman shares his thoughts on American Express, Costco and IBM’s future working with artificial intelligence. And Bill Gates, explains why it will be a huge help.

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SpaceX has just published a stunning 360-degree video of its most recent feat: landing the first stage of the Falcon 9 rocket on a drone ship in the ocean. If you ever wanted feel like you’re standing under a spaceship that’s landing without the awful side effect of being burned to shreds, here’s your chance.

To be honest, we thought we had seen every angle of this historic moment by this point. We watched it happen live. We watched it in 4K. We saw photos that were taken from just about every conceivable and terrifying angle.

But SpaceX has never released a 360-degree video, so you’ve definitely never seen anything quite like this. Watching the rocket descend from above from the perspective of the ship is extremely surreal, especially when you hear the landing rockets kick in. So sit back, throw your phone in a headset if you have one, and hit play. This will hopefully be just the first of many more to come. (Now if only they had filmed 360-degree videos of the ones that blew up.)

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