THE FIRST FULL-SCALE HYPERLOOP PASSENGER CAPSULE HAS ARRIVED

Pod People

We’ve seen more sketches and animated demo videos of hyperloops than we can count. But now, one of leaders of the industry has finally shown us something we can touch.

During a ceremony in Spain on Tuesday, Hyperloop Transportation Technologies (HyperloopTT) unveiled the Quintero One, a pod designed to whisk passengers across vast distances, through depressurized tubes, as part of the high-tech transportation system of the future.

The company also released a video detailing the manufacturing of the capsule on the same day.

The Deets

Quintero One is 32 meters (105 feet) long, weighs 5,000 kilograms (5.5 tons), and took 5,000 hours to assemble. HyperloopTT constructed it almost entirely out of a custom-built, super-strong, super-light smart material containing a combination of carbon fiber and embedded sensors. These sensors can wirelessly transmit information on everything from temperature to stability in real-time while the capsule is in operation.

On The Move

Next stop for the capsule is HyperloopTT’s research and development center in Toulouse, France, so the company can integrate it into a hyperloop system. According to Bibop Gresta, HyperloopTT’s chairman and co-founder, it will be ready for passengers by 2019.

That’s assuming the company has a hyperloop in place to support it, of course.

The idea of a hyperloop has been floating around since Elon Musk first posed the concept back in 2013, and HyperloopTT is just one of several companies developing the technology.

Despite all the hype, though, we still don’t have a hyperloop. But hey, at least this pod’s a step in the right direction.


READ MORE: First Hyperloop Passenger Capsule Unveiled [Bloomberg]

More on HyperloopTT: CEO of a Hyperloop Company Has Some Surprising Thoughts on the Future of Transportation

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A NEURAL NETWORK, CONNECTED TO A HUMAN BRAIN, COULD MEAN MORE ADVANCED PROSTHETICS

Limb Biscuit

In the future, some researchers hope people who lose the use of limbs will be able to control robotic prostheses using brain-computer interfaces — like Luke Skywalker did effortlessly in “Star Wars.”

The problem is that brain signals are tricky to decode, meaning that existing brain-computer interfaces that control robotic limbs are often slow or clumsy.

But that could be changing. Last week, a team of doctors and neuroscientists released a paper in the journal Nature Medicine about a brain-computer interface that uses a neural network to decode brain signals into precise movements by a lifelike, mind-controlled robotic arm.



Brain Decoder

The researchers took data from a 27-year-old quadriplegic man who had an array of microelectrodes implanted in his brain, and fed it into a series of neural nets, which are artificial intelligence systems loosely modeled after our brains’ circuits that excel at finding patterns in large sets of information.

After training sessions over the course of nearly two and a half years, the neural networks got pretty good at identifying which brain signals were related to specific muscular commands and how to relay them to the robotic limb.

Take The Wheel

Not only did the neural net let the patient move the robotic arm with better accuracy and less delay than existing systems, but it did even better when the researchers let it train itself. That is, the neural net was able to teach itself which brain signals corresponded to which arm movements more effectively without any hints from the researchers.

With the neural net, the volunteer in the experiment was able to pick up and manipulate three small objects with the robotic hand — an ability that’s easily taken for granted but often eludes those who rely on prosthetic limbs to navigate daily life.

READ MORE: Building a better brain-computer interface [MedicalXpress]

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