Archive for the ‘computing’ category: Page 589

Feb 7, 2016

The Tiny Startup Racing Google to Build a Quantum Computing Chip

Posted by in categories: chemistry, computing, quantum physics, robotics/AI

As I said this morning; there is something definitely going with Quantum today. Maybe it’s the planet alignment (I saw there was something going on with the alignment with Aquaris today) — this is awesome news.

Rigetti Computing is working on designs for quantum-powered chips to perform previously impossible feats that advance chemistry and machine learning.

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Feb 7, 2016

2 Quantum Computing Companies That Are Not D-Wave

Posted by in categories: computing, quantum physics

Wham! Another headline; 2 new companies (Rigetti and Q Branch) trying to capture the Quantum Platform crown from D-Wave. Now, we can say a real industry race is on.

Based on a recent analysis of our most popular articles, investors seem to have a strong interest in quantum computing. The problem for investors is that there aren’t any pure play opportunities to invest in quantum computing at the moment. The main reason for this is that there aren’t many companies working on quantum computing. In fact, there’s just one company right now that’s actually selling a quantum computer; Canadian based startup D-Wave.

D-Wave has actually released a controversial “quantum computer”, and is working with big names like Google, NASA, and Lockheed. D-Wave received some major credibility recently when Google announced that they solved an optimization problem in seconds that would normally take 10,000 years with a conventional computer. There is one way to get exposure to D-Wave, but it’s hardly a pure-play and doesn’t seem overly promising. While there are very few companies other than D-Wave directly involved in quantum computing, we did find two companies that quantum computing investors should keep an eye on.

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Feb 7, 2016

Macroscopic quantum entanglement achieved at room temperature

Posted by in categories: computing, particle physics, quantum physics

In quantum physics, the creation of a state of entanglement in particles any larger and more complex than photons usually requires temperatures close to absolute zero and the application of enormously powerful magnetic fields to achieve. Now scientists working at the University of Chicago (UChicago) and the Argonne National Laboratory claim to have created this entangled state at room temperature on a semiconductor chip, using atomic nuclei and the application of relatively small magnetic fields.

When two particles, such as photons, are entangled – that is, when they interact physically and are then forcibly separated – the spin direction imparted to each is directly opposite to the other. However, when one of the entangled particles has its spin direction measured, the other particle will immediately display the reverse spin direction, no matter how great a distance they are apart. This is the “spooky action at a distance” phenomenon (as Albert Einstein put it) that has already seen the rise of applications once considered science fiction, such as ultra-safe cryptography and a new realm of quantum computing.

Ordinarily, quantum entanglement is a rarely observed occurence in the natural world, as particles coupled in this way first need to be in a highly ordered state before they can be entangled. In essence, this is because thermodynamic entropy dictates that a general chaos of particles is the standard state of things at the atomic level and makes such alignments exceedingly rare. Going up a scale to the macro level, and the sheer number of particles involved makes entanglement an exceptionally difficult state to achieve.

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Feb 7, 2016

DARPA’s New ‘Neural’ Microchip Could Let Drones Think Like a Human

Posted by in categories: computing, drones, military, neuroscience, robotics/AI

“Full exploitation of this information is a major challenge,” officials with the Defense Advanced Research Projects Agency (DARPA) wrote in a 2009 brief on “deep learning.”

“Human observation and analysis of [intelligence, surveillance and reconnaissance] assets is essential, but the training of humans is both expensive and time-consuming. Human performance also varies due to individuals’ capabilities and training, fatigue, boredom, and human attentional capacity.”

Working with a team of researchers at MIT, DARPA is hoping to take all of that human know-how and shrink it down into processing unit no bigger than your cellphone, using a microchip known as “Eyeriss.” The concept relies on “neural networks;” computerized memory networks based on the workings of the human brain.

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Feb 7, 2016

Eyeriss is MIT’s 168-Core Chip That Brinngs Powerful AI to Mobiles

Posted by in categories: computing, robotics/AI

MIT researchers have presented the Eyeriss chips that have 10 times more power than mobile GPUs and use deep learning for local AI functions.

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Feb 6, 2016

Create VR experiences within VR itself using Unreal Engine

Posted by in categories: computing, habitats, neuroscience, virtual reality

Meet “Unreal Engine”; VR’s friend in VR game creations.

Epic Games has been teasing “the future of VR development” recently, and the team is finally ready to tell everyone what that is: Creating virtual reality content within virtual reality itself, using the full version of its Unreal Engine 4. Epic cofounder Tim Sweeney says that while the company’s been supporting the likes of the Oculus Rift from the outset, the irony is that, up to this point, the experiences we’ve seen so far have been developed using the same tools as traditional video games. “Now you can go into VR, have the entire Unreal editor functioning and do it live,” he says. “It almost gives you god-like powers to manipulate the world.”

So rather than using the same 2D tools (a keyboard, mouse and computer monitor) employed in traditional game development, people making experiences for VR in Unreal can now use a head-mounted display and motion controllers to manipulate objects in a 3D space. “Your brain already knows how to do this stuff because we all have an infinite amount of experience picking up and moving 3D objects,” Sweeney says. “The motions you’d do in the real world, you’d do in the editor and in the way you’d expect to; intuitively.”

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Feb 6, 2016

Intel: The future of computing is…slow

Posted by in categories: computing, quantum physics

Glad to see that Intel has finally announced that have embraced Quantum Tunnelling. However, slower performance chips isn’t the right way either.

Intel reveals at a conference that whether it chooses spintronics or quantum tunnelling, computers of the future are going to be slower.

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Feb 6, 2016

A New Kind of Computer Chip Could Soon Make Your Smartphone Way More Powerful

Posted by in categories: computing, mobile phones

And it could save you some battery too.

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Feb 5, 2016

Northwestern University researchers develop a hybrid polymer

Posted by in categories: biotech/medical, computing, electronics, materials, nanotechnology

What would be really cool is have a “Computer Screen in a Can”; take your polymer spray and instantly create a screen on a table, a window, suitcase, etc. with your “Computer Screen in a Can”; U Can! I can just imagine the infomercials. On a more serious note — NW Univ has developed a new Hybrid Polymer which is going to expand the capabilities of polymer into so many areas in medicine, to manufacturing, electronics, self reparing material & devices, etc.…id-polymer

A completely new hybrid polymer has been developed by Northwestern University (Evanston, IL) researchers.

“We have created a surprising new polymer with nano-sized compartments that can be removed and chemically regenerated multiple times,” said materials scientist Samuel Stupp, the senior author of the study and director of Northwestern’s Simpson Querrey Institute for BioNanotechnology. The study was published in the Jan. 29 issue of Science.

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Feb 5, 2016

The Iron Stepping Stones To Better Wearable Tech Without Semiconductors

Posted by in categories: computing, wearables

Q-Dots improving wearables.

Spreading out iron dots on nanotubes could help create better wearable tech that is both reliable and more flexible. The technology looks beyond semiconductors, says lead researcher Yoke Khin Yap, and could change how we construct transistors.

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