Physicists have produced the first-ever blueprints for a large-scale quantum computer that could herald a technological revolution in computing.

If the industrial blueprint works, it could see the first super-fast quantum machine being built within a decade at a cost of tens of millions of pounds.

Quantum computers have long been seen as the next stage in computing technology. Scientists believe this next generation machine could be many millions of times faster than contemporary computers.

An international team the University of Sussex published the new blueprint in the academic journal Science Advances.

For many years, people said that it was completely impossible to construct an actual quantum computer. With our work we have not only shown that it can be done but now we are delivering a nuts and bolts construction plan to build an actual large-scale machine, lead scientist Winfried Hensinger said in a statement.

The revolutionary potential of quantum computers lies in their ability to work at the atomic level, where an atom can mysteriously exist in two different places at the same time.

This means a qubit the quantum version of a traditional bit of computer information can be both 1 and 0 at the same time. At the moment, a bit can only be 1 or 0.

Scientists believe a computer system that operates on this level can perform many more multiple calculations at one time.

Previous attempts at building a quantum machine have been limited to a computing capability of 10 or 15 qubits, but now physicists claim to have come up with a way around this restriction.

Whereas scientists had previously used fibre optic connections to connect individual computer modules, the new invention uses electric fields to push ions from one module to another.

A modular design is absolutely critical in order to realize a quantum computer with truly phenomenal processing power, Hensinger told the BBC.

The new machine is not going to be cheap, however, with a starting cost of 1-2 million ($1.25-2.5 million), which could balloon to tens of millions.

But the cost could be worth it once the new supercomputers get to work solving societys most difficult and complex problems.

The availability of a universal quantum computer may have a fundamental impact on society as a whole, Hensinger said in a statement.

Without doubt it is still challenging to build a large-scale machine, but now is the time to translate academic excellence into actual application building on the UKs strengths in this ground-breaking technology. I am very excited to work with industry and government to make this happen.

Read more:

Quantum supercomputer could 'change life completely' - RT

Remember the Twilight Zone episode A Most Unusual Camera, about a couple who rob an antique store and find themselves in possession of a camera that can predict the future? Personally I dont think its cool for criminals to find such a neat gizmo (even if it eventually kills them all (spoilers)). But the story had a moral: If you can see into the future, you should use your knowledge to gamble and get rich, because life is short and you will inevitably fall out a window in an unexpected and ironic fashion.

Come to think of it, the internet is a little bit like that camera. There are dozens of ways its near-infinite collection of data could make a logical prediction of the future. With that in mind, Ive taken the liberty of compiling as much internet-sourced material as possible to prophesize the outcome of this years Super Bowl the New England Patriots vs. Atlanta Falcons and turn what I have in my savings account into a small fortune.

So here, in no particular order, are various Super Bowl winner predictions from around the internet.

5. A Yahoo Answers post from 8 months ago, while not the most reliable source, is nonetheless comprehensive, and a voice of the people. Lets hear it:

Unfortunately none of these teams are playing in the Super Bowl. Yahoo has been DQed.

6. Following the Yahoo Answers lead, I asked several online Magic 8 Balls, Will Barry Sanders win the Super Bowl? because the question must be posed in a yes or no format. The results were what can only be described as a mixed bag:

7. Then I texted the Q&A chat service Cha Cha, which shut down operations last year. This proved less useful than the Magic 8 Ball.

8. This online crystal ball replied, Maybe, if you do nothing. If your hands are tied, this is a possibility. But the only way to make your future definite is to untie your hands and seize the day!

9. Lastly, I attempted to contact several online psychics for answers, but they kept asking for my credit card information, and you already know Im not a gambler.

In summation, it seems like the most likely winners of Super Bowl LI are either the Atlanta Falcons or the New England Patriots. But its impossible to entirely rule out a Barry Sanders comeback.

In 2015, SB Nation reported that the amount of money spent gambling on the game annually was in the billions. Gambling on the Super Bowl is like robbing an antique store: It seems like a good idea at first, but as any antique thief will tell you, Dont rob that antique store, the old man has gun!

And yet millions of you will do it anyway (gamble on the Super Bowl that is) so you might as well stock the odds in your favor with these missives from the future. Surely one of them is right.

Read this article:

Who will win the Super Bowl: predictions from NFL experts, a 'Super Computer,' and a Magic 8-Ball - The Verge

Eventually the ASCI Red was dethroned by a supercomputer specifically designed to replace it; the ASCI White. This new supercomputer was installed in the heart of Lawrence Livermore National Laboratory. At half strength, the system became operational in November 2000, and was completed in June 2001.

Unlike the ASCI Red which was built by Intel, the ASCI White was IBM's chance to shine. ASCI White derived its power from 8192 IBM Power3 processors clocked at 375 MHz. ASCI White represents a new trend among supercomputers, adopting a cluster. A cluster architecture is a collection of individual nodes connected together to work as a single system. Today, clustering is used by 85 percent of the supercomputers listed on the TOP500.

ASCI White actually includes 512 RS/6000 SP servers, each containing 16 CPUs. Each CPU was capable of 1.5 GFlops of processing power, which made ASCI White theoretically capable of reaching 12.3 TFlops. It's real-world performance was considerably lower, only reaching 7.2 TFlops under Linpack (7.3 TFlops from 2003).

ASCI White required 3,000 kW of power to operate, with an additional 3,000 kW consumed by the cooling system.

Read the original:

23 Years Of Supercomputer Evolution - Tom's Hardware

For most of us, a computer probably seems fast enough if it's able to run "LEGO Lord of the Rings" or a YouTube video of an English bulldog on a skateboard without slowing to a crawl. But for scientists who need to work on really complicated problems, the mere 158 billion calculations per second that a PC with an i7 processor can perform isn't nearly enough [sources: Peckham, ORNL, Kolawole].

That's why researchers are so excited about the Tennessee-based Oak Ridge National Laboratory (ORNL)'s new toy, the Cray Titan supercomputer. When it was unveiled in October 2012, the Titan claimed the title of world's fastest computer, which had been held by the IBM Sequoia Blue Gene/Q machine at the Lawrence Livermore National Laboratory in California for just six months [sources: Burt, Johnston].

How fast is the Titan? Its theoretical top speed is 27 petaflops, which doesn't sound that impressive unless you know that it means 27,000 trillion calculations per second [source: ORNL]. That's hundreds of thousands times faster than your top-of-the-line PC. Unlike your PC, though, Titan won't fit on a desktop; it occupies a space the size of a basketball court [source: Kolawole].

Titan's incredible speed makes it a fantastic tool for tackling really complicated problems that involve gigantic amounts of data. Researchers plan to use it to run detailed simulations of the Earth's climate, which may yield ideas on how to lessen global warming. They also may use it to help design super-efficient internal combustion engines and solar panels, and to run biological simulations that will help speed the testing of new drugs. On the pure science level, Titan could help scientists simulate the breaking of the bonds that hold molecules together, giving them new insights into one of the most important processes in nature [sources: ORNL, Kolawole].

But the Titan is important not just because it's incredibly fast, but because it pioneers a new sort of supercomputer design that could spawn a generation of even speedier machines. For years, scientists have achieved higher and higher speeds simply by building machines with thousands and thousands of central processing units, or CPUs, in them, and then breaking the calculations they want to perform into smaller pieces that could be parceled out to all of those CPUs [source: ORNL]. The drawback of that approach is all those CPU chips require enormous amounts of electricity. The Titan, however, pairs each of its 18,688 CPUs with a graphic processing unit, or GPU the sort of chip used in hot-rod gaming PCs to accelerate the computations. GPUs don't draw as much juice as CPUs, so the result is a machine that's faster than its predecessors but also a lot more energy efficient [sources: ORNL, Kolawole].

Researchers see the Titan as blazing the way toward exascale-class computers that is, machines a thousand or more times as fast as the most powerful supercomputers today [sources: Kolawole, Goodwin and Zacharia].

Visit link:

What is the worlds fastest supercomputer used for ...

CESAccelerating the race to autonomous cars, NVIDIA today launched NVIDIA DRIVE PX 2 the worlds most powerful engine for in-vehicle artificial intelligence.

NVIDIA DRIVE PX 2 allows the automotive industry to use artificial intelligence to tackle the complexities inherent in autonomous driving. It utilizes deep learning on NVIDIA's most advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.

"Drivers deal with an infinitely complex world," said Jen-Hsun Huang, co-founder and CEO, NVIDIA. "Modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars.

"NVIDIA's GPU is central to advances in deep learning and supercomputing. We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness. Autonomous cars will bring increased safety, new convenient mobility services and even beautiful urban designs -- providing a powerful force for a better future."

24 Trillion Deep Learning Operations per Second Created to address the needs of NVIDIA's automotive partners for an open development platform, DRIVE PX 2 provides unprecedented amounts of processing power for deep learning, equivalent to that of 150 MacBook Pros.

Its two next-generation Tegra processors plus two next-generation discrete GPUs, based on the Pascal architecture,deliver up to 24 trillion deep learning operations per second, which are specialized instructions that accelerate the math used in deep learning network inference. That's over 10 times more computational horsepower than the previous-generation product.

DRIVE PX 2's deep learning capabilities enable it to quickly learn how to address the challenges of everyday driving, such as unexpected road debris, erratic drivers and construction zones. Deep learning also addresses numerous problem areas where traditional computer vision techniques are insufficient -- such as poor weather conditions like rain, snow and fog, and difficult lighting conditions like sunrise, sunset and extreme darkness.

For general purpose floating point operations, DRIVE PX 2's multi-precision GPU architecture is capable of up to 8 trillion operations per second. That's over four times more than the previous-generation product. This enables partners to address the full breadth of autonomous driving algorithms, including sensor fusion, localization and path planning. It also provides high-precision compute when needed for layers of deep learning networks.

Deep Learning in Self-Driving Cars Self-driving cars use a broad spectrum of sensors to understand their surroundings. DRIVE PX 2 can process the inputs of 12 video cameras, plus lidar, radar and ultrasonic sensors. It fuses them to accurately detect objects, identify them, determine where the car is relative to the world around it, and then calculate its optimal path for safe travel.

This complex work is facilitated by NVIDIA DriveWorks, a suite of software tools, libraries and modules that accelerates development and testing of autonomous vehicles. DriveWorks enables sensor calibration, acquisition of surround data, synchronization, recording and then processing streams of sensor data through a complex pipeline of algorithms running on all of the DRIVE PX 2's specialized and general-purpose processors. Software modules are included for every aspect of the autonomous driving pipeline, from object detection, classification and segmentation to map localization and path planning.

End-to-End Solution for Deep Learning NVIDIA delivers an end-to-end solution -- consisting of NVIDIA DIGITS and DRIVE PX 2 -- for both training a deep neural network, as well as deploying the output of that network in a car.

DIGITS is a tool for developing, training and visualizing deep neural networks that can run on any NVIDIA GPU-based system -- from PCs and supercomputers to Amazon Web Services and the recently announced Facebook Big Sur Open Rack-compatible hardware. The trained neural net model runs on NVIDIA DRIVE PX 2 within the car.

Strong Market Adoption Since NVIDIA delivered the first-generation DRIVE PX last summer, more than 50 automakers, tier 1 suppliers, developers and research institutions have adopted NVIDIA's AI platform for autonomous driving development. They are praising its performance, capabilities and ease of development.

"Using NVIDIA's DIGITS deep learning platform, in less than four hours we achieved over 96 percent accuracy using Ruhr University Bochum's traffic sign database. While others invested years of development to achieve similar levels of perception with classical computer vision algorithms, we have been able to do it at the speed of light." -- Matthias Rudolph, director of Architecture Driver Assistance Systems at Audi

"BMW is exploring the use of deep learning for a wide range of automotive use cases, from autonomous driving to quality inspection in manufacturing. The ability to rapidly train deep neural networks on vast amounts of data is critical. Using an NVIDIA GPU cluster equipped with NVIDIA DIGITS, we are achieving excellent results." -- Uwe Higgen, head of BMW Group Technology Office USA

"Due to deep learning, we brought the vehicle's environment perception a significant step closer to human performance and exceed the performance of classic computer vision." -- Ralf G. Herrtwich, director of Vehicle Automation at Daimler

"Deep learning on NVIDIA DIGITS has allowed for a 30X enhancement in training pedestrian detection algorithms, which are being further tested and developed as we move them onto NVIDIA DRIVE PX." -- Dragos Maciuca, technical director of Ford Research and Innovation Center

The DRIVE PX 2 development engine will be generally available in the fourth quarter of 2016. Availability to early access development partners will be in the second quarter.

Keep Current on NVIDIA Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on YouTube and images on Flickr.

About NVIDIA Since 1993,NVIDIA(NASDAQ:NVDA) has pioneered the art and science ofvisual computing. With a singular focus on this field, the company offers specialized platforms for the gaming, automotive, data center and professional visualization markets. Its products, services and software power amazing new experiences in virtual reality, artificial intelligence and autonomous cars. More information athttp://nvidianews.nvidia.com/.

Certain statements in this press release including, but not limited to, statements as to: the features, benefits and performance of NVIDIA DRIVE PX 2 and NVIDIA DriveWorks; the effects of modern artificial intelligence and GPU breakthroughs; NVIDIA's GPU being central to advances in deep learning and supercomputing; the effects of leveraging deep learning and supercomputing advances; the benefits and impact of autonomous cars; the abilities of deep learning; the features of NVIDIA DIGITS; and the availability of the DRIVE PX 2 development platform are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 25, 2015. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tegra, NVIDIA DIGITS, NVIDIA DRIVE, NVIDIA DriveWorks and Pascal are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

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NVIDIA Boosts IQ of Self-Driving Cars With World's First ...

Return to http://www.soton.ac.uk/~sjc/raspberrypi

View video at: http://www.youtube.com/watch?v=Jq5nrHz9I94

Prof Simon Cox

Computational Engineering and Design Research Group

Faculty of Engineering and the Environment

University of Southampton, SO17 1BJ, UK.

V0.2: 8th September 2012

V0.3: 30th November 2012 [Updated with less direct linking to MPICH2 downloads]

V0.4: 9th January 2013 [Updated step 33]

First steps to get machine up

1. Get image from

Downloads

I originally used: 2012-08-16-wheezy-raspbian.zip

Updated 30/11/12: 2012-10-28-wheezy-raspbian.zip

My advice is to to check the downloads page on raspberrypi.org and use the latest version.

2. Use win32 disk imager to put image onto an SD Card (or on a Mac e.g. Disk Utility/ dd)

http://www.softpedia.com/get/CD-DVD-Tools/Data-CD-DVD-Burning/Win32-Disk-Imager.shtml

You will use the Write option to put the image from the disk to your card

3. Boot on Pi

4. Expand image to fill card using the option on screen when you first boot. If you dont do this on first boot, then you need to use

$ sudo raspi-config

http://elinux.org/RPi_raspi-config

5. Log in and change the password

http://www.simonthepiman.com/beginners_guide_change_my_default_password.php

$ passwd

6. Log out and check that you typed it all OK (!)

$ exit

7. Log back in again with your new password

Building MPI so we can run code on multiple nodes

8. Refresh your list of packages in your cache

$ sudo apt-get update

9. Just doing this out of habit, but note not doing any more than just getting the list (upgrade is via sudo apt-get upgrade).

10. Get Fortran after all what is scientific programming without Fortran being a possibility?

$ sudo apt-get install gfortran

11. Read about MPI on the Pi. This is an excellent post to read just to show you are going to make it by the end, but dont type or get anything just yet- we are going to build everything ourselves:

http://westcoastlabs.blogspot.co.uk/2012/06/parallel-processing-on-pi-bramble.html

Note there are a few things to note here

a) Since we put Fortran in we are good to go without excluding anything

b) The packages here are for armel and we need armhf in this case so we are going to build MPI ourselves

12. Read a bit more before you begin:

http://www.mcs.anl.gov/research/projects/mpich2/documentation/files/mpich2-1.4.1-installguide.pdf

Note: As the version of MPICH2 updates, you are better to go to:

Guides

and get the latest installers Guide.

We are going to follow the steps from 2.2 (from the Quick Start Section) in the guide.

13. Make a directory to put the sources in

$ mkdir /home/pi/mpich2

$ cd ~/mpich2

14. Get MPI sources from Argonne.

$ wget http://www.mcs.anl.gov/research/projects/mpich2/downloads/tarballs/1.4.1p1/mpich2-1.4.1p1.tar.gz

[Note that as the MPI source updates, you can navigate to:

http://www.mpich.org/downloads/ to get the latest stable release version for MPICH2]

15. Unpack them.

$ tar xfz mpich2-1.4.1p1.tar.gz

[Note: You will need to update this as the version of MPICH2 increments]

16. Make yourself a place to put the compiled stuff this will also make it easier to figure out what you have put in new on your system. Also you may end up building this a few times

$ sudo mkdir /home/rpimpi/

$ sudo mkdir /home/rpimpi/mpich2-install

[I just chose the rpimpi to replace the you in the Argonne guide and I did the directory creation in two steps]

17. Make a build directory (so we keep the source directory clean of build things)

mkdir /home/pi/mpich_build

18. Change to the BUILD directory

$ cd /home/pi/mpich_build

19. Now we are going to configure the build

$ sudo /home/pi/mpich2/mpich2-1.4.1p1/configure -prefix=/home/rpimpi/mpich2-install

[Note: You will need to update this as the version of MPICH2 increments]

Make a cup of tea

20. Make the files

$ sudo make

Make another cup of tea

21. Install the files

$ sudo make install

Make another cup of tea it will finish

22. Add the place that you put the install to your path

$ export PATH=$PATH:/home/rpimpi/mpich2-install/bin

Note to permanently put this on the path you will need to edit .profile

$nano ~/.profile

and add at the bottom these two lines:

# Add MPI to path

PATH="$PATH:/home/rpimpi/mpich2-install/bin"

23. Check whether things did install or not

$ which mpicc

$ which mpiexec

24. Change directory back to home and create somewhere to do your tests

$ cd ~

$ mkdir mpi_testing

$ cd mpi_testing

25. Now we can test whether MPI works for you on a single node

mpiexec -f machinefile -n hostname

where machinefile contains a list of IP addresses (in this case just one) for the machines

a) Get your IP address

$ ifconfig

b) Put this into a single file called machinefile

26. $ nano machinefile

Add this line:

192.168.1.161

[or whatever your IP address was]

27. If you use

Follow this link:

Raspberry Pi Supercomputer Guide Steps

Follow

Today's supercomputers can not only perform calculation after calculation with blazing speed, they process vast amounts of data in parallel by distributing computing chores to thousands of CPUs. Supercomputers are found at work in research facilities, government agencies and businesses performing mathematical calculations as well as collecting, collating, categorizing and analyzing data.

Your local weatherman bases his forecasts on data supplied by supercomputers run by NOAA, or the National Oceanic and Atmospheric Administration. NOAA's systems perform database operations, mathematical and statistical calculations on huge amounts of data gathered from across the nation and around the world. The processing power of supercomputers help climatologists predict, not only the likelihood of rain in your neighborhood, but also the paths of hurricanes and the probability of tornado strikes.

Like the weather, scientific research depends upon the number-crunching ability of supercomputers. For example, astronomers at NASA analyze data streaming from satellites orbiting earth, ground-based optical and radio telescopes and probes exploring the solar system. Researchers at the European Organization for Nuclear Research, or CERN, found the Higgs-Boson particle by analyzing the massive amounts of data generated by the Large Hadron Collider.

National Security Agency and similar government intelligence agencies all over the world use supercomputers to monitor communications between private citizens, or from suspected terrorist organizations and potentially hostile governments. The NSA needs the numerical processing power of supercomputers to keep ahead of increasingly sophisticated encryption of Internet, cell phone, email and satellite transmissions -- as well as old-fashioned radio communications. In addition, the NSA uses supercomputers to find patterns in both written and spoken communication that might alert officials to potential threats or suspicious activity.

Some supercomputers are needed to extract information from raw data gathered from data farms on the ground or in the cloud. For example, businesses can analyze data collected from their cash registers to help control inventory or spot market trends. Life Insurance companies use supercomputers to minimize their actuarial risks. Likewise, companies that provide health insurance reduce costs and customer premiums by using supercomputers to statistically analyze the benefits of different treatment options.

Mainframe computers, created in the early 1940s, initially were bulky machines that required cooling-sensitive rooms. The 1951 UNIVAC was the size of...

"Microcomputer" is the term coined in the 1970s for a personal computer. Until that point, computers had been bulky room-sized electronics; even...

Even if your organization has researched the benefits and advantages of using a supercomputer to tackle tough and complicated problems, you will...

Computers are used for a variety of applications---from scientific data recording to engineering to ... Supercomputers provide the fastest processing speed of...

There are four categories of compters on which most computer scientists agree: the supercomputer, the mainframe, the minicomputer and the microcomputer. As...

Go here to read the rest:

What Are the Uses of a Supercomputer? | eHow

The steps to make a Raspberry Pi supercomputer can be downloaded here [9th Jan 2013 update]: Raspberry Pi Supercomputer (PDF).

You can also follow the steps yourself here [9th Jan 2013 update]: Raspberry Pi Supercomputer (html).

The press release (11th Sept 2012) for our Raspberry Pi Supercomputer with Lego is here: Press Release University Page

The press release is also here (PDF): Press Release (PDF).

Pictures are here - including Raspberry Pi and Lego: Press Release (More Pictures).

We wrote up our work as a scientific journal publication where you can find further technical details on the build, motivation for the project and benchmarking.

The reference to the paper is:

Simon J. Cox, James T. Cox, Richard P. Boardman, Steven J. Johnston, Mark Scott, Neil S. O'Brien

Iridis-pi: a low-cost, compact demonstration cluster

Cluster Computing

June 2013

DOI: 10.1007/s10586-013-0282-7

These are some links you may find helpfulul

See the article here:

Raspberry Pi at Southampton

Usain Bolt

Jamaica's Usain Bolt celebrates winning gold in the men's 200-meter final at the World Athletics Championships in the Luzhniki stadium in Moscow, Russia, Aug. 2013. Bolt reportedly ate a lot of McDonald's en route to becoming one of the world's fastest humans. (AP Photo/Martin Meissner, File) (Martin Meissner)

An ongoing digest of the food stories we're consuming at NOLA.com | The Times-Picayune.

The Diet of Champions-- "[T]hey lived on a diet of McDonalds, but that did not stop Ryan Lochte winning 4 Olympic medals for the USA, and Usain Bolt winning 3 Olympic medals for Jamaica, becoming the then fastest Olympian over 100m in the process." (Decibel h/t Digg)

IBM's AI computer has come up with some pretty incredible food pairings-- "Knowledge thatmight've taken a lifetime for a Michelin-starred chef to attain can now be accessedinstantly from your tablet." (Mike Murphy/Quartz)

How Peter Chang stopped running and started empire building-- Chang was once America's most famous elusive chef. "Chang's triumphal return to Northern Virginia generated so much excitement that Changians -- as his devoted pack members call themselves -- briefly crashed the Arlington restaurant's Web site before the place could open its doors." (Tim Carman/The Washington Post)

See the rest here:

Usain Bolt's diet, a super computer's palate and more: Reading About Eating

LAS VEGAS, April 13, 2015 /PRNewswire/ --Super Micro Computer, Inc. (NASDAQ: SMCI), a global leader in high-performance, high-efficiency server, storage technology, and green computing debuts its new extreme density 4U 90x hot-swap bay SuperStorage platform alongside a wide range of high performance server, storage and networking solutions for the Broadcast Media Industry this week at NAB (National Association of Broadcasters) Show in Las Vegas, Nevada. The new 4U JBOD storage chassis supports up to 90x 3.5" 8TB HDDs for 720TB of SAS3, 12Gb/s performance in an easily serviceable top-load hot-swap architecture. Dual hot-swap expander modules featuring 4x Mini-SAS HD ports maximize throughput and failover redundancy for media streaming, nearline and archive storage applications. With 4K 60p Ultra High-Definition hitting mainstream and 8K 120p UHD on the horizon, all aspects of broadcast media production, from capture, editing, and CG/VFX, to encoding/transcoding, streaming and archiving will drive demand for the most extreme levels of compute, storage and network performance.

"Supermicro Green Computing solutions address the most extreme digital workload challenges facing the Broadcast industry with maximum performance, density, and energy efficiency," said Charles Liang, President and CEO of Supermicro. "Solutions such as our new 4U 90 top-load hot-swap 3.5" HDD SuperStorage or 1U 12x 3.5" direct attached 10GbE storage are unrivaled in density, performance and scalability for uncompressed media. And our 1U 4x GPU systems deliver the raw compute power for visual effects, rendering and transcoding. As the entertainment industry shifts to UHD media, Supermicro has exactly the best compute, storage, and network solutions available for studios to achieve lowest TCO through optimum performance per watt, per square foot, per dollar."

Supermicro NAB Show 2015 highlights include Blackmagic Design, DaVinci Resolve running on the Blackmagic Design certified, GPU accelerated SYS-7048GR-TR, and full range of server, blade, storage and networking solutions optimized for digital content creation, production, management, and distribution.

Visit Supermicro at NAB Show 2015, April 13-16 in the Las Vegas Convention Center, Lower South Hall, Booth SL15705. For more information on Supermicro's complete range of high performance, high-efficiency Server, Blade, Storage and Networking solutions, visit http://www.supermicro.com.

Follow Supermicro on Facebook and Twitter to receive their latest news and announcements.

About Super Micro Computer, Inc.

Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology is a premier provider of advanced server Building Block Solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermicro is committed to protecting the environment through its "We Keep IT Green" initiative and provides customers with the most energy-efficient, environmentally-friendly solutions available on the market.

Supermicro, Building Block Solutions and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names and trademarks are the property of their respective owners.

SMCI-F

See the rest here:

Supermicro Debuts New 720TB 4U 90x 3.5" Top-Load Hot-Swap, SAS3 12Gb/s HDD SuperStorage JBOD Platform @ NAB Show 2015

Hedge fund magnate Robert Mercer, a reported billionaire, is the "main donor" bankrolling the super PACs supportingSen. Ted Cruz's (R-Texas) presidential campaign, The New York Times reported Friday.

According to The Times, Mercer, "a reclusive Long Islander who started I.B.M. and made his fortune using computer patterns to outsmart the stock market, emerged this week as a key bankroller" of Cruz's "surprisingly fast campaign start."

Cruz made headlines on Wednesday when the super PACs reported raising what Bloomberg described as a stunning $31 million in just a week.

"Cruz's presidential effort is getting into the shock-and-awe fundraising business," Bloomberg's Mark Halperin wrote. "Even in the context of a presidential campaign cycle in which the major party nominees are expected to raise more than $1.5 billion, Cruz's haul is eye-popping, one that instantly raises the stakes in the Republican fundraising contest."

Cruz's campaign was not expected to be so well funded, especially because the firebrand senator has repeatedly railed against the Republican establishment and "crony capitalism." Other presidential contenders like former Florida Gov. Jeb Bush (R), Wisconsin Gov. Scott Walker (R), and Sen. Marco Rubio (R-Florida) appear to be closer to establishment-friendly GOP donors.

Trevor Potter,a Republican campaign finance lawyer, told The Times that donors like Mercer are changing the landscape of electoral politics.

"It just takes a random billionaire to change a race and maybe change the country," Potter said. "That's what's so radically different now."

The paper reported that Mercer, who declined to comment, has not said anything publicly about his financial support for Cruz or why he's backing the senator's presidential campaign, which launched on March 23.According to The Daily Beast, Mercer's hedge fund, Renaissance Technologies, "recently faced an unflattering congressional investigation, the results of which indicated that it used complex and unorthodox financial structures to dramatically lower its tax burden."

Cruz's campaign, required to be independent of the super PACs, previously told Business Insider that it was more than excited by the report indicating the committees were flush with money.

"We are thrilled by the report!" his spokeswoman said.

Read more:

REPORT: This billionaire hedge funder is quietly bankrolling Ted Cruz's campaign

.

More than a a third of Royal Society testers have been fooled by a super computer into thinking that it was a 13 year old boy.

Five machines were tested at the Royal Society in central London to see if they could fool people into thinking they were humans during text-based conversations.

The test was devised in 1950 by computer science pioneer and World War II code breaker Alan Turing, who said that if a machine was indistinguishable from a human, then it was thinking.

So far no computer has passed the Turing test, which requires 30 percent of human interrogators to be duped during a series of five minute keyboard conversations.

Eugene Goostman, a computer program developed to simulate a 13-year-old boy, managed to convince 33 percent of the judges that it was human, the university said.

Professor Kevin Warwick, from the University of Reading, said: In the field of artificial intelligence there is no more iconic and controversial milestone than the Turing test.

It is fitting that such an important landmark has been reached at the Royal Society in London, the home of British science and the scene of many great advances in human understanding over the centuries. This milestone will go down in history as one of the most exciting.

The successful machine was created by Russian-born Vladimir Veselov, who lives in the United States, and Ukrainian Eugene Demchenko who lives in Russia.

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Supercomputer passes Turing test

Raspberry Pi in der Praxis
Ich zeige euch das Raspberry Pi Modell 2.

By: Super Computer

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Raspberry Pi in der Praxis - Video

HONG KONG, April 7, 2015 /PRNewswire/ -- One of the China's most popular online video sites, Le Holdings (Beijing) Limited (Le Shi), has officially invited the press in early April to an announcement themed "From 1984 to 2015" at which the firm will unveil its Super Smartphone that will bring about unprecedented changes to user experience and the way the industry operates. The announcement will start at 14:00 on April 14 at the MasterCard Center in Beijing, China.

The theme "From 1984 to 2015" represents a new milestone in 2015. "While Apple's announcement of its Macintosh computer in 1984 was seen as the beginning of a new age, Le Shi's announcement of its Super Smartphone in 2015 will "overturn" Apple -- the one who originally overturned -- by bringing smartphones over to the new "Ecological Age," remarked Le Shi's Chairman Jia Yueting.

Le Shi's Chairman on Weibo: An invitation to break boundaries

That particular theme and its implication are also echoed in Jia's media invitation to the announcement from his Weibo account. He includes a graphic piece in which the "App" in "Apple" is crossed out, with only the "le" in "Le Shi" left untouched.

Jia's Weibo invite themed "No Ecosystem Nothing Super" reads: "our time is changing; roles have changed but our spirit never changes! From 1984 to 2015, Le Shi invites you to #BreakBoundaries, EcologicalOverturn#; see you at 2pm on 4-14."

The Chairman has proactively publicized the concepts behind the new smartphone and questioned Apple's industrial design and its closed system after his surgery to cure Thymoma in November 2014, though he has not made any public appearance since then.

The new, transformative Eco User Interface of Super Smartphone

While high-performance, gorgeous appearance, a focus on the service-first ecological mode, and unrivaled features -- such as all-metal bodies, no-frame industrial design, Qualcomm's flagship 810 chipset, HiFi stereo components, and the highest-resolution camera -- will enable Le Shi's Super Smartphone to surpass offerings by major competitors, the core edge of the Super Smartphone is the EUI (Eco User Interface) system.

"An interactive system between users and ecosystem, EUI is cross-ecology and across terminals' central nervous systems. EUI re-defines smartphone's UI system, allowing smartphones to move from the intelligence age to the ecology age," said Le Shi.

EUI will also act as the core of a complete ecosystem that transforms the existing hardware-software integrated smartphone.

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Le Shi to Unveil Super Smartphone on April 14, Create the New "Ecological Age"

LG Display shows how 8K resolution improves upon earlier high-definition formats. LG Display

Apple is working on an update to its iMac that will take its resolution to new heights, according to LG Display.

In a blog post last week that was newly noticed Monday, LG Display wrote about the future of display technology, saying that next big thing will be a "super-high-resolution" format known as 8K.

Tucked into the middle of that discussion was one attention-getting sentence: "Apple has also announced that they will release the 'iMac 8K' with a super-high resolution display later this year."

The tricky thing is, Apple hasn't announced such a product. If the LG Display claim is true, the famously hush-hush iPhone maker cannot be happy about what was said. Apple likes to make its own announcements according to its own schedule and holds its vendors to vows of extreme secrecy. If Apple is working on an 8K iMac, LG Display could find itself in some hot water.

Apple's iMac is an all-in-one computer with a display in front of the device's components. It comes with a keyboard and mouse and different display resolutions based on the model. The company's 21.5-inch iMac has a 1,920-by-1,080-pixel resolution, while the 27-inch version has a 2,560-by-1,440 resolution. Apple also sells an iMac with Retina 5K display featuring a 27-inch screen that has a 5,120-by-2,880-pixel resolution. That computer was announced last year

Screen resolution has long been a differentiating factor for displays. The higher the resolution, the more pixels packed into a display -- and thus the crisper and more lifelike the image. For the last several years, the display market has been dominated by 1080p displays boasting a 1,920-by-1,080-pixel resolution. Now TV makers are pitching so-called 4K displays that feature resolutions of 4,096-by-2,160. Apple's 5K display has a slightly better resolution.

Ultimately, LG Display says, the future in display resolutions is with 8K, which it says is the highest resolution at which the human eye can discern, featuring a resolution of 7,680 by 4,320. LG Display showed off an 8K display at the Consumer Electronics Show in January, featuring a 98-inch screen. The company also has a 55-inch display.

Still, offering a high resolution is only one part of the equation. In order for users to get the full effect of 5K or 8K, they'd need to have the content to support it. Right now, 4K content is hard to come by, and it's unlikely that content creators, like movie studios, will encode much video in 8K anytime soon. The benefit, in other words, is only apparent when the content that supports the resolution is readily available.

If Apple is indeed working on an 8K display, LG Display might be in a position to know: according to iFixit, LG Display manufactured the 5K display. It's possible that LG Display is working on an 8K screen for an update to the 5K iMac, and and that's what it let slip.

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LG Display outs iMac with 'super high-res' 8K screen

Minecraft | Mission Take Off #6 - Super Computer
A New series full of super computers, missiles, nukes, rockets, planets, robots and.... WAR!!! Join me in the quest to get to the moon before "Team Sparklez" (Rosie #39;s Team). But along the...

By: Apollo Loftus

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Minecraft | Mission Take Off #6 - Super Computer - Video

Metal Gear NES Music Song Soundtrack - Super Computer Area [HQ] High Quality Music
Metal Gear NES Music Song and game Soundtrack OST Metal GearSong Music NES Dendy Nintendo High Quality Music Metal Gear (...

By: Dendy Legend - NES Music and Soundtrack Collection

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Metal Gear NES Music Song Soundtrack - Super Computer Area [HQ] High Quality Music - Video

New Raspberry Pi 2 50-100 Cluster Super Computer!
http://www.raspberrypi.org/downloads/ http://sourceforge.net/projects/win32diskimager/ http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html http://www.tinkernut.com/2014/04/27/make-cl...

By: Rasim Muratovic

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New Raspberry Pi 2 50-100 Cluster Super Computer! - Video

Aurora [Official Trailer #1] 2015
Facebook : http://on.fb.me/1FZ7V7C In 2020 super-computer Kronos concludes that human beings are the biggest threat to the planet. 60 years later, Andrew finds himself lost in a world run...

By: TrailerNEWS International

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Aurora [Official Trailer #1] 2015 - Video

Super Computer - Vonverhille

By: Leon C

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