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Smart Camera Uses Sensors, AI to Automatically Edit Video

For many amateur video shooters, the fast-forward button is a valuable friend. It could be, though, that sorting through long minutes of footage when not much is happening for the few seconds of gold is about to be a thing of the past.

The creators of a new high-definition camera called Graava say the pocket-sized device uses its GPS, accelerometer, gyroscope, microphones and image sensor to mark the most interesting moments in video as it is being recorded. It can also take heart-rate readings with an attachable third-party monitor to note exciting moments for the user. Then artificial intelligence pieces those moments together into highlight clips with only the good stuff, which is immediately available to share on social networks. Learn more and see a video below.

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The Pixel and Pixel XL is what happens when Google designs phones

It took Google a while, but its fascination with hardware has finally turned into something serious. Software is Google’s art, and the company has been working for a long time to craft the right canvases. That’s where the new Pixel and Pixel XL come in. These phones are a culmination on Google’s part of years’ worth of experimenting with hardware, and they’re unsurprisingly great. Simply put, everyone else making Android phones should be a little worried.

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Airbus’ new concept is a car, a drone, and a train all in one

In Airbus’ fantastic future world, you can seamlessly transition from car to flying car to train all without lifting your butt off the seat…

Black Friday @ GearXS isn’t quite over yet.

Just click the link http://www.shareasale.com/r.cfm?u=1547298&m=25790&b=212921 and start saving! Hurry, these savings won’t last forever.

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From an animation shown at the 1991 Consumer Electronics Show in Chicago.

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Quantum RAM: Modelling the big questions with the very small

Griffith’s Professor Geoff Pryde, who led the project, says that such processes could be simulated using a “quantum hard drive”, much smaller than the memory required for conventional simulations.

“Stephen Hawking once stated that the 21st century is the ‘century of complexity’, as many of today’s most pressing problems, such as understanding climate change or designing transportation system, involve huge networks of interacting components,” he says.

“Their simulation is thus immensely challenging, requiring storage of unprecedented amounts of data. What our experiments demonstrate is a solution may come from quantum theory, by encoding this data into a quantum system, such as the quantum states of light.”

Einstein once said that “God does not play dice with the universe,” voicing his disdain with the idea that quantum particles contain intrinsic randomness.

“But theoretical studies showed that this intrinsic randomness is just the right ingredient needed to reduce the memory cost for modelling partially random statistics,” says Dr Mile Gu, a member of the team who developed the initial theory.

In contrast with the usual binary storage system - the zeroes and ones of bits - quantum bits can be simultaneously 0 and 1, a phenomenon known as quantum superposition.

The researchers, in their paper published in Science Advances, say this freedom allows quantum computers to store many different states of the system being simulated in different superpositions, using less memory overall than in a classical computer.

The team constructed a proof-of-principle quantum simulator using a photon - a single particle of light - interacting with another photon.

They measured the memory requirements of this simulator, and compared it with the fundamental memory requirements of a classical simulator, when used to simulate specified partly random processes.

The data showed that the quantum system could complete the task with much less information stored than the classical computer- a factor of 20 improvements at the best point.

“Although the system was very small - even the ordinary simulation required only a single bit of memory - it proved that quantum advantages can be achieved,” Pryde says.

“Theoretically, large improvements can also be realized for much more complex simulations, and one of the goals of this research program is to advance the demonstrations to more complex problems.”

Griffith University