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For Dario: the PI computation record was established on a single desktop computer using a cache optimized algorithm. Previous record was obtained by a cluster of hundreds of computers. The cache optimized algorithm was 20 times faster.

"btw: we will very soon have the very same processor in the new iMac .... what record are you going to beat with it?" Fastest Linux install on an iMac :)

"Fastest Linux install on an iMac :)" that is going to be a though one but a worthy aim! ""The art of computer programming" is probably the closest thing to a bible for computer scientists :)" yep! Programming is art ;)

Oct. 22, 2013 NASA Laser Communication System Sets Record with Data Transmissions to and from Moon NASA's Lunar Laser Communication Demonstration (LLCD) has made history using a pulsed laser beam to transmit data over the 239,000 miles between the moon and Earth at a record-breaking download rate of 622 megabits per second (Mbps).

Another Pi digits calculation record.

wow - apparently the project started as a high-school project! http://www.numberworld.org/y-cruncher/

Autonomous sailing boat planned for setting a new record

Multiplexed optical recording provides an unparalleled approach to increasing the information density beyond 1012 bits per cm3 (1 Tbit cm-3) by storing multiple, individually addressable patterns within the same recording volume. Although wavelength, polarization and spatial dimension have all been exploited for multiplexing, these approaches have never been integrated into a single technique that could ultimately increase the information capacity by orders of magnitude.

not a surprise though still bad to read ....

On a side note, it's hilarious to read an article on something repeatedly referred to as being secret...

quite self-explanatory described though: "The terrorists apparently would win if Google told you the exact number of times the Federal Bureau of Investigation invoked a secret process to extract data about the media giant's customers. That's why it is unlawful for any record-keeper to disclose it has received a so-called National Security Letter. But under a deal brokered with the President Barack Obama administration, Google on Tuesday published a "range" of times it received National Security Letters demanding it divulge account information to the authorities without warrants. It was the first time a company has ever released data chronicling the volume of National Security Letter requests. National Security Letters allow the government to get detailed information on Americans' finances and communications without oversight from a judge. The FBI has issued hundreds of thousands of NSLs and has even been reprimanded for abusing them. The NSLs are written demands from the FBI that compel internet service providers, credit companies, financial institutions and businesses like Google to hand over confidential records about their customers, such as subscriber information, phone numbers and e-mail addresses, websites visited and more as long as the FBI says the information is "relevant" to an investigation." and ""You'll notice that we're reporting numerical ranges rather than exact numbers. This is to address concerns raised by the FBI, Justice Department and other agencies that releasing exact numbers might reveal information about investigations. We plan to update these figures annually," Richard Salgado, a Google legal director, wrote in a blog post. Salgado was not available for comment. What makes the government's position questionable is that it is required by Congress to disclose the number of times the bureau issues National Security Letters. In 2011, the year with the latest available figures, the FBI issued 16,511 National Sec

Researchers in the US have built a new type of solar cell that emits light as well as absorbs it, making it the most efficient solar cell ever developed. The efficiency of their prototype cell allows it to convert 28.6% of the Sun's energy into electricity.

well, the text is at best misleading ... the most efficient solar cells are well over 35% and approach the 40s with concentration! what they have done is to increase the limit of a single junction cell it seems to me ... still, nteresting though from text most details on how this was done are missing ... paper is not yet published, correct?

I learn of it in a workshop few weaks ago. It's on GaAs and I think that the key theoretical aspects are explained here: http://arxiv.org/abs/1106.1603

Researchers at the University of Toronto in Canada and KAUST in Saudi Arabia have made a solar cell out of colloidal quantum dot (CQD) films that has a record-breaking efficiency of 7%. This is almost 40% more efficient than the best previous devices based on CQDs.

"I don't have a cell phone. I won't carry a cell phone," says Stallman, founder of the free software movement and creator of the GNU operating system. "It's Stalin's dream. Cell phones are tools of Big Brother. I'm not going to carry a tracking device that records where I go all the time, and I'm not going to carry a surveillance device that can be turned on to eavesdrop." he is right once more ...

I am going to live in the forest! Sadly, while true, there's no way around it these days. On the up-side the information overflow these days exceeds processing speeds. Soon it will become increasingly difficult for NSA or other organizations to find anything in the tons of data they stash away. Like some guy said in a random youtube video I can't find now anymore: "good luck trying to find my personal data when I'm tagged in 5000 pictures of cats!"

next step taken .... after they won the power beaming challenge ... fantastic team!

does he also have to pay property tax?

so how does that state get his money from this type of economy? where is the VAT in there?

Last time I checked the "state" was still loosing money. But their main income is the sale of resources. Mostly new land, but I believe at some point they wanted to sell their initial planet too.

the whole trans-siberian journey recorded from a camera, a bit too long to watch everything nevertheless

here's a recording of the transmission: http://ia600406.us.archive.org/13/items/STS-133/03-07-11_STS-133_FD12_Crew_Wakeup.mp3 to quote from the thread at reddit: "When the space shuttle first flew, 55 americans were being held hostage in the embassy in Iran, and Ronald Reagan had just become president. That same year Prince Charles would marry Lady Diana, the HIV virus would be first identified, Post-It notes were invented, and a small company called Microsoft released it's new operating system MS-DOS."

Speaking of William Shatner, the legendary "Rocket Man": http://www.youtube.com/watch?v=5hARDXYz2io

Pretty amazing.

We report a new record power conversion efficiency of 3.5% for inkjet printed

"Alexander Ratushnyak compressed the first 100,000,000 bytes of Wikipedia to a record-small 16,481,655 bytes (including decompression program), thereby not only winning the second payout of The Hutter Prize for Compression of Human Knowledge, but also bri

"Soundsnap is the best platform to find and share free sound effects and loops- legally. It is a collection of original sounds made or recorded by its users, and not songs or sound FX found on commercial libraries or sample CD's."

Last week NASA and NOAA announced that 2014 topped the list of hottest years ever recorded. Yikes! What's worse, the ten warmest years ever recorded have all occurred since 1998. Yikes again! In the meantime, the ACT is skiing on stones and rocks in Switzerland ^^

love this one ... it seems to take physicist to explain to the AI crowd what they are actually doing ... Deep learning is a broad set of techniques that uses multiple layers of representation to automatically learn relevant features directly from structured data. Recently, such techniques have yielded record-breaking results on a diverse set of difficult machine learning tasks in computer vision, speech recognition, and natural language processing. Despite the enormous success of deep learning, relatively little is understood theoretically about why these techniques are so successful at feature learning and compression. Here, we show that deep learning is intimately related to one of the most important and successful techniques in theoretical physics, the renormalization group (RG). RG is an iterative coarse-graining scheme that allows for the extraction of relevant features (i.e. operators) as a physical system is examined at different length scales. We construct an exact mapping from the variational renormalization group, first introduced by Kadanoff, and deep learning architectures based on Restricted Boltzmann Machines (RBMs). We illustrate these ideas using the nearest-neighbor Ising Model in one and two-dimensions. Our results suggests that deep learning algorithms may be employing a generalized RG-like scheme to learn relevant features from data.