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Regulation is not the immediate problem with autonomous cars. Example, is Google car has been deemed approved by existing regs. However, the issue is the broader public’s trust due to the various reports of hacking of connected cars such as the Nissan Leaf, etc. Until we put in place a more resilient net infrastructure such as Quantum; slow down will happen. I suggest GM to read the news more because everything that I stated has been well communicated in the news and research for the past 4 months.


GM Ventures president Lauckner believes regulation will not halt the advance of the autonomous car.

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The office today for some and near future for others.


Vodafone says collaboration and gaming will fuel future office design.

Young people coming into employment in the next five years will work in a virtual reality office in the future, according to Vodafone.

Speaking at a keynote speech at the UC Expo in London, Peter Terry-Brown, head of product management at Vodafone, said 14-to-16-year-olds worked together in a virtual environment better than an older group did in a traditional office, when the telco decided to compare them.

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That astounding sum is especially noteworthy because Magic Leap has not released a beta version of its product, not even to developers. Aside from potential investors and advisers, few people have been allowed to see the gear in action, and the combination of funding and mystery has fueled rampant curiosity. But to really understand what’s happening at Magic Leap, you need to also understand the tidal wave surging through the entire tech industry. All the major players—Facebook, Google, Apple, Amazon, Microsoft, Sony, Samsung—have whole groups dedicated to artificial reality, and they’re hiring more engineers daily. Facebook alone has over 400 people working on VR. Then there are some 230 other companies, such as Meta, the Void, Atheer, Lytro, and 8i, working furiously on hardware and content for this new platform. To fully appreciate Magic Leap’s gravitational pull, you really must see this emerging industry—every virtual-reality and mixed-reality headset, every VR camera technique, all the novel VR applications, beta-version VR games, every prototype VR social world.

Like I did—over the past five months.

Then you will understand just how fundamental virtual reality technology will be, and why businesses like Magic Leap have an opportunity to become some of the largest companies ever created.

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Large Hadron Collider (LHC) Could Detect Extra Dimensions.

A recent paper published in Physics Letters B has raised the prospect that the Large Hadron Collider (LHC) could mark a discovery that would put its earlier achievements with the #HiggsBoson in the shade. The authors of the recent published paper propose it could spot mini black holes. Such a discovery would be a matter of massive importance on its own, but might be a sign of even more significant things. Few notions from theoretical physics capture the public imagination as much as the “many-worlds theory,” which suggests an infinite number of universes that vary from our own in ways large and small. The notion has delivered great fodder for science fiction novelists and comedians. Nevertheless, according to Professor Mir Faizal from the University of Waterloo, “Normally, when people think of the multiverse, they think of the many-worlds interpretation of quantum mechanics, where every possibility is actualized,” he told Phys.org. “This cannot be tested and so it is philosophy and not science.” Nonetheless, Faizal reflects the test for a different type of parallel universes nearly within our reach. Faizal says “What we mean is real universes in extra dimensions. As gravity can flow out of our universe into the extra dimensions, such a model can be tested by the detection of mini black holes at the LHC.”

#ParticlePhysics #Extradimensions #LHC #CERN #TheoreticalPhysics #BlackHoles

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Could we see BMI technology used as part of our ID?


A team of researchers at Binghamton University, led by Assistant Professor of Psychology Sarah Laszlo and Assistant Professor of Electrical and Computer Engineering Zhanpeng Jin, recorded the brain activity of 50 people wearing an electroencephalogram headset while they looked at a series of 500 images designed specifically to elicit unique responses from person to person — e.g., a slice of pizza, a boat, Anne Hathaway, the word “conundrum.” They found that participants’ brains reacted differently to each image, enough that a computer system was able to identify each volunteer’s “brainprint” with 100 percent accuracy.

“When you take hundreds of these images, where every person is going to feel differently about each individual one, then you can be really accurate in identifying which person it was who looked at them just by their brain activity,” said Laszlo.

In their original study, titled “Brainprint,” published in 2015 in Neurocomputing, the research team was able to identify one person out of a group of 32 by that person’s responses, with only 97 percent accuracy, and that study only incorporated words, not images.