The CIA and Jeff Bezos Bet on Quantum Computing

Artificial intelligence researchers at Google regularly log into a D-Wave computer over the Internet to try it out, and 2011 also saw the company sign its first customer. Defense contractor Lockheed Martin paid $10 million for a computer for research into automatically detecting software bugs in complex projects such as the delayed F-35 fighter (see “Tapping Quantum Effects for Software that Learns“). Questions remain about just how its technology works, but D-Wave says more evidence is forthcoming. It is readying an improved processor that Rose calls the company’s first true product rather than a piece of research equipment. D-Wave is expected to announce other major customers in coming months.

via The CIA and Jeff Bezos Bet on Quantum Computing – Technology Review.

“At an engineering level they’ve put together a setup that’s impressive in various ways,” says Scott Aaronson, an MIT professor who studies the limits of quantum computation. “But in terms of the evidence that they’re solving problems using quantum mechanics faster than you could classically, I don’t think it’s there yet.” A fierce critic of D-Wave in the years following its 2007 demo, Aaronson softened his stance last year after the company’s Nature paper showing quantum effects. “In the past there was an enormous gap between the marketing claims and where the science was and that’s come down, but there’s still a gap,” says Aaronson, who visited the company’s labs in February. “The burden of proof is on them and they haven’t met the burden yet.”

NASA uses Amazon’s cloud computing in Mars landing mission

Using AWS’s cloud to operate the mars.jpl.nasa.gov website, Shams noted, enables JPL to get images, videos and developments to the public quickly, without having to build and operate the infrastructure in-house.

According to Amazon, AWS enabled JPL to construct a scalable Web infrastructure in only two to three weeks instead of months.

via NASA uses Amazon’s cloud computing in Mars landing mission – chicagotribune.com.

Amazon cloud outage takes down Netflix, Instagram, Pinterest, & more

An outage of Amazon’s Elastic Compute Cloud in North Virginia has taken down Netflix, Pinterest, Instagram, and other services. According to numerous Twitter updates and our own checks, all three services are unavailable as of Friday evening at 9:10 p.m. PT.

via Amazon cloud outage takes down Netflix, Instagram, Pinterest, & more | VentureBeat.

With the critical Amazon outage, which is the second this month, we wouldn’t be surprised if these popular services started looking at other options, including Rackspace, SoftLayer, Microsoft’s Azure, and Google’s just-introduced Compute Engine. Some of Amazon’s biggest EC2 outages occurred in April and August of last year.

The Amazon Effect

Amazon’s entry into publishing’s traditional casino is a sideshow. More worrisome, at least over the long term, is the success of Amazon’s Kindle Single program, an effort to encourage writers to make an end run around publishers, not only of books but of magazines as well. That program offers writers a chance to publish original e-book essays of no more than 30,000 words (authors agree to a bargain-basement price of no more than $2.99 in exchange for a 70 percent royalty and no advance).

via The Amazon Effect | The Nation.

This article is very long winded but makes a good history reference for amazon.

Ebooks Made of YouTube Comments Invade Amazon Kindle Store

A pair of artist-coders have unleashed a small army of bots designed to flood the Kindle e-book store with texts comprised entirely of YouTube comments. According to the artists, even they have no idea how many books their autonomous bots are posting to the store.

via Ebooks Made of YouTube Comments Invade Amazon Kindle Store – Technology Review.

“The KINDLE’VOKE machinary is based on three major parts. (1) The “Sucker” a clever suction apparatus to gather comments from Youtube. (2) the “Ghost Writer’s Table”: the book compiler that handles generation of books content, book covers, authors at the same time. (3) The “Amazon Kindle Scatter Bots” that make the brand new digital literature available for all of us.

Amazon experimenting with front-lit display for next Kindle

With the display and battery life being such strong selling points, you may be surprised to hear Amazon is experimenting with adding a light source. In fact, Devin Coldewey of TechCrunch has actually seen a prototype new Kindle in action using a front-lit lighting method.

The result? Apparently the E Ink display is lit very evenly and softly. So this isn’t the same type of light you get from a typical tablet LCD unit. He describes it as a “blue-white glow” which may seem a bit peculiar, but could work when just viewing text and on a display lit from the front.

via Amazon experimenting with front-lit display for next Kindle – New Tech Gadgets & Electronic Devices | Geek.com.

Estimate: Amazon Cloud Backed by 450,000 Servers

How many servers does it take to power Amazon’s huge cloud computing operation? Like many large Internet companies, Amazon doesn’t disclose details of its infrastructure, including how many servers it uses. But a researcher estimates that Amazon Web Services is using at least 454,400 servers in seven data center hubs around the globe.

Huan Liu, a research manager at Accenture Technology Labs, analyzed Amazon’s EC2 compute service using internal and external IP addresses, which he extrapolated to come up with estimates for the number of racks in each data center location. Liu then applied an assumption of 64 blade servers per rack – four 10U chassis, each holding eight blades – to arrive at the estimate.

via Estimate: Amazon Cloud Backed by 450,000 Servers » Data Center Knowledge.

Sweet Mother of God.

$1,279-per-hour, 30,000-core cluster built on Amazon EC2 cloud

The cluster, announced publicly this week, was created for an unnamed “Top 5 Pharma” customer, and ran for about seven hours at the end of July at a peak cost of $1,279 per hour, including the fees to Amazon and Cycle Computing. The details are impressive: 3,809 compute instances, each with eight cores and 7GB of RAM, for a total of 30,472 cores, 26.7TB of RAM and 2PB (petabytes) of disk space. Security was ensured with HTTPS, SSH and 256-bit AES encryption, and the cluster ran across data centers in three Amazon regions in the United States and Europe. The cluster was dubbed “Nekomata.”

via $1,279-per-hour, 30,000-core cluster built on Amazon EC2 cloud.