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Sep 7, 2016

Effective rehabilitation of phantom limb pain with virtual reality

Posted by in categories: biotech/medical, health, virtual reality

A group of researchers at the University of Tokyo and their collaborators showed that using a virtual reality system to treat phantom limb pain by creating the illusion that patients are moving their absent limbs by will and having them repeat this exercise helped ease their perceived pain.

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Sep 7, 2016

Russia’s airship plan is crazy — and cunning

Posted by in category: economics

To save the economy, the Kremlin entertains an airy idea.

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Sep 7, 2016

Patients to Receive Injection from Distance

Posted by in category: biotech/medical

Iranian researchers built a device that can automatically give injections to patients from distance.

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Sep 7, 2016

15-second flash charging comes to Swiss buses

Posted by in categories: computing, transportation

Electric bus that recharges in 15 seconds!


It takes these electric buses less time to recharge than it does to pick up passengers thanks to flash charging technology developed by ABB.

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Sep 7, 2016

The Next Wave of Deep Learning Architectures

Posted by in categories: computing, cosmology, robotics/AI

Intel has planted some solid stakes in the ground for the future of deep learning over the last month with its acquisition of deep learning chip startup, Nervana Systems, and most recently, mobile and embedded machine learning company, Movidius.

These new pieces will snap into Intel’s still-forming puzzle for capturing the supposed billion-plus dollar market ahead for deep learning, which is complemented by its own Knights Mill effort and software optimization work on machine learning codes and tooling. At the same time, just down the coast, Nvidia is firming up the market for its own GPU training and inference chips as well as its own hardware outfitted with the latest Pascal GPUs and requisite deep learning libraries.

While Intel’s efforts have garnered significant headlines recently with that surprising pair of acquisitions, a move which is pushing Nvidia harder to demonstrate how GPU acceleration (thus far the dominant compute engine for model training), they still have some work to do to capture mindshare for this emerging market. Further complicating this is the fact that the last two years have brought a number of newcomers to the field—deep learning chip upstarts touting the idea that general purpose architectures (including GPUs) cannot compare to a low precision, fixed point, specialized approach. In fact, we could be moving into a “Cambrian explosion” for computer architecture–one that is brought about by the new requirements of deep learning. Assuming, of course, there are really enough applications and users in a short enough window that the chip startups don’t fall over waiting for their big bang.

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Sep 7, 2016

Meet the iPhone 7

Posted by in category: mobile phones

Apple just announced the iPhone 7.

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Sep 7, 2016

Here’s what an eclipse looks like from a plane

Posted by in category: transportation

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Sep 7, 2016

Dobby Selfie-Drone: Hands-On

Posted by in categories: drones, entertainment

Elevate your selfie game with this pocket-sized drone: engt.co/2cqxRRu

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Sep 7, 2016

From this point forward, all Intel and AMD CPUs are Windows 10-only

Posted by in category: computing

Keep in mind as you plan your hardware purchases — AMD CPUs, APUs, and Intel CPUs are all Windows 10-only from this point forward. AMD GPUs will continue to support Windows 7 and 8 for now, though we don’t know when the company will terminate this.

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Sep 7, 2016

For First Time Ever, Carbon Nanotube Transistors Have Outperformed Silicon

Posted by in categories: computing, nanotechnology

In an attempt to bring the next generation of computers to life, teams around the globe have been working with carbon nanotubes — one of the most conductive materials ever discovered. Now, for the first time ever, scientists made a transistor using carbon nanotubes that beats silicon.

For the first time, scientists have built a transistor out of carbon nanotubes that can run almost twice as fast as its silicon counterparts.

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