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Archive for the ‘supercomputing’ category: Page 83

May 27, 2016

AI ‘doctors’ will diagnose your X-rays

Posted by in categories: biotech/medical, health, robotics/AI, supercomputing

An Israeli medical imaging company has signed a deal with a Utah-based healthcare provider that could change the way we diagnose certain conditions. Zebra Medical Imaging is teaming up with Intermountain to work on a neural network that will compare fresh X-rays with the “millions” stored in its own database. The eventual aim of the project is to offer up suggestions to radiographers and other medical professionals and eliminate costly misdiagnoses.

For instance, let’s imagine that you’ve gone to hospital for some unknown condition and you get an X-ray. Rather than handing the slide to a doctor, who could miss a small shadow or other minor clue, the image would be handed to the computer. It would use deep learning to trawl an anonymized patient database looking for any anomalies that you might be suffering from. The current system will work on bone health, cardiovascular analysis and lung conditions, although who knows where the possibilities will end.

As deep learning technology gets more powerful, smaller and significantly cheaper, the potential for AI to assist doctors becomes more realistic. IBM has spent the last few years pushing Watson, its homegrown supercomputer, as a system to aid decision making for patients. At the same time, companies like LG are trying to shrink medical imaging technology to end the days of bulky hospital equipment being available for a chosen few. All in all, the idea of a medical tricorder is going from fantastical to plausible in less time than you’d expect.

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May 11, 2016

IBM makes quantum computing available free on IBM Cloud

Posted by in categories: quantum physics, supercomputing

https://youtube.com/watch?v=jf7D8snlsnQ

Layout of IBM’s five superconducting quantum bit device. In 2015, IBM scientists demonstrated critical breakthroughs to detect quantum errors by combining superconducting qubits in latticed arrangements, and whose quantum circuit design is the only physical architecture that can scale to larger dimensions. Now, IBM scientists have achieved a further advance by combining five qubits in the lattice architecture, which demonstrates a key operation known as a parity measurement — the basis of many quantum error correction protocols. (credit: IBM Research)

IBM Research has announced that effective Wednesday May 4, it is making quantum computing available free to members of the public, who can access and run experiments on IBM’s quantum processor, via the IBM Cloud, from any desktop or mobile device.

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May 10, 2016

CoinFac Brings Quantum Computing Technology To Cryptocurrency Mining

Posted by in categories: bitcoin, cryptocurrencies, economics, information science, quantum physics, supercomputing

QC meets Blockchaining; nice.


CoinFac Limited, a technology company, has recently introduced the next generation quantum computing technology into cryptocurrency mining, allowing current Bitcoin and Altcoin miners to enjoy a 4,000 times speed increase.

Quantum computing is being perceived as the next generation of supercomputers capable of processing dense digital information and generating multi-sequential algorithmic solutions 100,000 times faster than conventional computers. With each quantum computing server costing at an exorbitant price tag of $5 Million — $10 Million, this revolutionary concoction comprising advanced technological servers with a new wave of currency systems, brings about the most uprising event in the cryptocurrency ecosystem.

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May 7, 2016

The World’s Smartest People Speak on Artificial Intelligence

Posted by in categories: robotics/AI, supercomputing

Michio Kaku.

The 69-year-old bestselling author, theoretical physicist and futurist takes a longer, more pragmatic view, calling AI an end-of-the-century problem. He adds that even then, if humanity’s come up with no better methods to constrain rogue AI, it’ll be a matter of putting ‘a chip in [artificially intelligent robot] brains to shut them off.’


Artificial intelligence (AI) will end us, save us or—less jazzy-sounding but the more probable intersection of both—eventually obsolete us. From humbling chess grandmaster losses at the hands of mathematically brilliant supercomputers to semantic networks with the linguistic grasp of a four-year-old, one thing seems certain: AI is coming.

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May 7, 2016

Google Announced Their D-Wave 2X Quantum Computer Succesfully Works

Posted by in categories: quantum physics, supercomputing

It seems that the D-Wave Computer does work, and the theory is that the hardware is 3,600 times faster than other supercomputers. It is the nearest we have to quantum computing, and there have been two tests leading to the announcement that it was far more quickly than simulated annealing which is a copy of quantum computation carried out on a standard computer chip.

Read more

May 6, 2016

IBM’s Quantum Computing Is For ‘Anyone’, But Is It For Everyone?

Posted by in categories: quantum physics, supercomputing

Eventually it will be in everything tech. This version by IBM; is not for the masses. However, don’t worry; it’s coming.


Users will eventually be able to contribute and review results in the coming community, which will be hosted on the IBM Quantum Experience. So kudos to IBM for properly managing expectations.

The researchers at IBM have created a quantum processor, made up of five superconducting quantum bits (qubits).

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May 4, 2016

IBM Quantum Computing To Accelerate Cloud Innovation

Posted by in categories: quantum physics, supercomputing

Hmmm; my verdict is out for now.


IBM Quantum Computing Scientist Jay Gambetta uses a tablet to interact with the IBM Quantum Experience, the world’s first quantum computing platform delivered via the IBM Cloud at IBM’s T. J. Watson Research Center in Yorktown, NY.

On Wednesday, May 4, for the first time ever, IBM is making quantum computing available via the cloud to anyone interested in hands-on access to an IBM quantum processor, making it easier for researchers and the scientific community to accelerate innovations, and help discover new applications for this technology. This is the beginning of the quantum age of computing and the latest advance from IBM towards building a universal quantum computer. A universal quantum computer, once built, will represent one of the greatest milestones in the history of information technology and has the potential to solve certain problems we couldn’t solve, and will never be able to solve, with today’s classical computers. (Jon Simon/Feature Photo Service for IBM)

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May 3, 2016

Australia opens quantum computing lab in Sydney

Posted by in categories: quantum physics, supercomputing

I am totally jealous right now!


Australia opened a new quantum computing lab at the University of New South Wales (UNSW).

This follows the government’s $26-million investment in the Centre of Excellence for Quantum Computation & Communication Technology (CQC2T) as part of the National Innovation and Science Agenda. The government’s investment is supported by $10 million each from Telstra and the Commonwealth Bank of Australia (CBA).

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May 2, 2016

Could Aluminum Nitride Be Engineered to Produce Quantum Bits?

Posted by in categories: encryption, quantum physics, supercomputing

Interesting insight on Aluminum Nitride used to create Qubits.

http:///articles/could-aluminum-nitride-be-engineered-to-pro…nteresting insight.


Newswise — Quantum computers have the potential to break common cryptography techniques, search huge datasets and simulate quantum systems in a fraction of the time it would take today’s computers. But before this can happen, engineers need to be able to harness the properties of quantum bits or qubits.

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Apr 29, 2016

Nvidia GPU-powered autonomous car teaches itself to see and steer

Posted by in categories: engineering, mobile phones, robotics/AI, supercomputing, transportation

I do love Nvidia!


During the past nine months, an Nvidia engineering team built a self-driving car with one camera, one Drive-PX embedded computer and only 72 hours of training data. Nvidia published an academic preprint of the results of the DAVE2 project entitled End to End Learning for Self-Driving Cars on arXiv.org hosted by the Cornell Research Library.

The Nvidia project called DAVE2 is named after a 10-year-old Defense Advanced Research Projects Agency (DARPA) project known as DARPA Autonomous Vehicle (DAVE). Although neural networks and autonomous vehicles seem like a just-invented-now technology, researchers such as Google’s Geoffrey Hinton, Facebook’s Yann Lecune and the University of Montreal’s Yoshua Bengio have collaboratively researched this branch of artificial intelligence for more than two decades. And the DARPA DAVE project application of neural network-based autonomous vehicles was preceded by the ALVINN project developed at Carnegie Mellon in 1989. What has changed is GPUs have made building on their research economically feasible.

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