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Category: transportation

George “Geohot” Hotz is driving forward with his push to bring self-driving cars to the masses, but he’s going about it a slightly unconventional way. His company Comma.ai is brushing past some previous regulatory issues and is trying another route — open-sourcing not only its self-driving technology, but also instructions for building your very own hardware device (“a robotics platform”) called Comma Neo. All of this information is available today through Comma.ai’s GitHub repositories.

Since the beginning, the company has had a goal of being the Android version of self-driving cars — it wants to empower “ghostriding for the masses.” Earlier this year, it was approached by state and federal regulators inquiring about a product Hotz claimed wasn’t even on sale yet. Fed up with the scrutiny, Comma.ai cancelled its first product, the Comma One, and pivoted its thinking to democratizing its knowledge. So it’s keeping with its promise, but has scrapped its $999 price point in favor of it being free. “If we really want to be the Android of self-driving cars, we can’t be charging $999, can we?” Hotz explained.

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When you see a photo of a dog bounding across the lawn, it’s pretty easy for us humans to imagine how the following moments played out. Well, scientists at MIT have just trained machines to do the same thing, with artificial intelligence software that can take a single image and use it to to create a short video of the seconds that followed. The technology is still bare-bones, but could one day make for smarter self-driving cars that are better prepared for the unexpected, among other applications.

The software uses a deep-learning algorithm that was trained on two million unlabeled videos amounting to a year’s worth of screen time. It actually consists of two separate neural networks that compete with one another. The first has been taught to separate the foreground and the background and to identify the object in the image, which allows the model to then determine what is moving and what isn’t.

According to the scientists, this approach improves on other computer vision technologies under development that can also create video of the future. These involve taking the information available in existing videos and stretching them out with computer-generated vision, by building each frame one at a time. The new software is claimed to be more accurate, by producing up to 32 frames per second and building out entire scenes in one go.

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Since the Large Hadron Collider (LHC) needs to be in tip-top shape to discover new particles, it has two inspectors making sure everything’s in working order. The two of them are called TIM, short not for Timothy, but for Train Inspection Monorail. These mini autonomous monorails that keep an eye on the world’s largest particle collider follow a pre-defined route and get around using tracks suspended from the ceiling. According to CERN’s post introducing the machines, the tracks are remnants from the time the tunnel housed the Large Electron Positron instead of the LHC. The LEP’s monorail was bigger, but not quite as high-tech: it was mainly used to transport materials and workers.

As for what the machines can do, the answer is “quite a few.” They can monitor the tunnel’s structure, oxygen percentage, temperature and communication bandwidth in real time. Both TIMs can also take visual and infrared images, as well as pull small wagons behind them if needed. You can watch them in action below — as you can see, they’re not much to look at with their boxy silver appearance. But without them, it’ll be tough monitoring a massive circular tunnel with a 17-mile circumference.

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We took the technology out of the studio and into a car – making Holoportation truly mobile. To accomplish this, we reduced the bandwidth requirements by 97%, while still maintaining quality. This new mobile Holoportation system greatly increases the potential applications of real-time 3D capture and transmission.

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Nice update and glad the author mentioned Airbus, Gooch and Housego as I often see these 2 contributors missed in QC roadmap and companies engaged on QC activities. Airbus has been heavily involved with QC research and development for a few years now.

Physicsworld.com — news, views and information for the global physics community from Institute of Physics Publishing.

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A lot has happened since we first heard about the AirMule, a prototype VTOL (Vertical Takeoff and Landing) aircraft that features internal rotor blades – these work along with the horizontal-thrust ducted fans visible at the rear. First, it made some tethered autonomous test flights. Then, it flew untethered for a short distance. Now, known as the Cormorant UAV, it’s made its first full untethered autonomous flight … although there were a couple of hiccups.

Designed by Israeli firm Tactical Robotics, the Cormorant is designed to deliver troops, civilian passengers or other cargo within tight quarters where helicopters with exposed rotor blades just can’t go. With the UAV in its name standing for Unmanned Aerial Vehicle, the idea is that it will perform these tasks either autonomously or by remote control.

The latest test took place in Israel on Nov. 3rd, lasting only about two minutes and involving low flight over uneven terrain. While the aircraft did successfully demonstrate autonomous flight modes such as takeoff, climb, acceleration, cruise, deceleration, descent, turns, hover and touchdown, it is hoped that subsequent flights will be able to smooth out the transitions between those modes.

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NRG-X is the world’s first fully automatic charging solution, which provides efficient, high power energy transfer, has a great range of parking tolerance and can be simply retrofitted to almost every electric vehicle. Therefore, NRG-X is the ideal solution for convenient every day charging of your electric vehicle primarily at home. The system comprises two basic components:

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