Aasemoon'z Cluster

The German government's Bundesamt für Sicherheit in der Informationstechnik (BSI) (or in English, the Federal Office for Information Security) is reported to have told German citizens to avoid all versions of Microsoft Internet Explorer (IE) until security flaws that are suspected to allowing Google and other companies in China to be successfully hacked are fixed.

No, we're not talking about a Wonder Woman-type of invisible plane, but rather one that becomes very difficult to detect with radar. The Israel-based Ynetnews is reporting that an Israeli company called Nanoflight has successfully run a test on dummy missiles that were painted with the nano-enabled coating and have shown that radar could not pick them up as missiles.

When I first heard about compressed sensing, I was skeptical. There were claims that it reduced the amount of data required to represent signals and images by huge factors and then restored the originals exactly. I knew from the Nyquist-Shannon sampling theorem that this is impossible. But after learning more about compressed sensing, I’ve come to realize that, under the right conditions, both the claims and the theorem are true. The Nyquist-Shannon sampling theorem states that to restore a signal exactly and uniquely, you need to have sampled with at least twice its frequency. Of course, this theorem is still valid; if you skip one byte in a signal or image of white noise, you can’t restore the original. But most interesting signals and images are not white noise. When represented in terms of appropriate basis functions, such as trig functions or wavelets, many signals have relatively few non-zero coefficients. In compressed (or compressive) sensing terminology, they are sparse.

But you know what? I also have another really BIG question that I really have to bring up here... Sayid Jarrah is supposed to be Iraqi right? Then can somebody tell me, why on earth he has an IRANIAN PASSPORT????????????????!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

A little over a mile from the Wolfram Research Europe Ltd. office, where I work, lies Blenheim Palace, which has a rather nice hedge maze. As I was walking around it on the weekend, I remembered a map solving example by Peter Overmann using new image processing features in an upcoming version of Mathematica. I was excited to apply the idea to this real-world example. Once back at my computer, I started by using Bing Maps to get the aerial photo (data created by Intermap, NAVTEQ, and Getmapping plc).

Nikki Graziano's intriguing integration of mathematical curves into her photography sparked a Radar discussion about the relationship between mathematics and the real world. Does her work give insight into the nature of mathematics? Or into the nature of the world? And if so, what kind of insight? Mathematically, matching one curve to another isn't a big deal. Given N points, it's trivial to write an N+1 degree equation that passes through all of them. There are many more subtle ways of solving the same problem, with more aesthetically pleasing results: you can use sine functions, wavelets, square waves, whatever you want. Take out a ruler, measure some points, plug them into Mathematica, and in seconds you can generate as many curves as you like. So finding an equation that matches the curve of an artfully trimmed hedge is easy. The question is whether that curve tells us anything, or whether it's just another stupid math trick.

In separate keynote addresses in Silicon Valley, two Internet pioneers gave different takes on the future of the network of networks Monday (May 24). Vint Cerf, co-developer of the Net's TCP/IP protocol, shared his thoughts with developers of the smart electric grid, seen as a massive embedded extension to the Internet. Larry Roberts, who helped launch the forerunner of the Internet, explained his ideas for remedying the growing congestion that plagues the Web today. Smart grid developers can learn from the lessons of the Internet, Cerf told attendees at Connectivity Week here. They should follow the model of the Net in creating a layered architecture with plenty of room for flexibility in areas that cannot be anticipated today, he said in a keynote at Connectivity Week.

In this interview made by InfoQ’s Sadek Drobi, Don Syme, a Senior Researcher at Microsoft Research, answers questions mostly on F#, but also on functional programming, C# generics, type classes in Haskell, similarities between F# and Scala.

Bipedal humanoid robots can step over obstacles and negotiate stairs where their wheeled counterparts cannot, but this comes with the risk of falling down.  Naturally, humanoid robots will never be accepted in society if they break when they fall down.  The bigger the robot, the more likely it is that it will damage itself during a fall and be unable to get up. In 2003 the HRP-2P was the first full-scale humanoid that could fall over safely and get back up, and so far remains alone; not even Honda’s ASIMO can do this.  As soon as it detected that it was falling, the HRP-2P would bend its knees and back, which helped to reduce the ground impact.  This motion, called “UKEMI”, is quite similar to how the SONY QRIO would react when falling over to reduce the risk of damaging its components.

In then the past few years we have seen multiprocessing systems become more mainstream, in fact most modern personal computer CPUs now feature symmetric multiprocessing systems (SMP), where multiple instantiations of the same processor share the processing burden of the applications running on the PC. While SMPs are quite common today, we typically have not seen a shift towards multiprocessing in embedded computing. However, a new type of embedded design technique gives engineers the freedom to intelligently distribute processing functions across a digital subsystem. This article will look at an example of the distributed processing technique using Cypress Semiconductor's PSoC 3 and PSoC 5 architectures, which consist of a main CPU (in this case an 8051 or ARM Cortex M3), a DMA engine, and array of Universal Digital Blocks (UDB).

Verification of algorithm-intensive systems is a long, costly process. Studies show that the majority of flaws in embedded systems are introduced at the specification stage, but are not detected until late in the development process. These flaws are the dominant cause of project delays and a major contributor to engineering costs. For algorithm-intensive systems —including systems with communications, audio, video, imaging, and navigation functions— these delays and costs are exploding as system complexity increases. It doesn't have to be this way. Many designers of algorithm-intensive systems already have the tools they need to get verification under control. Engineers can use these same tools to build system models that help them find and correct problems earlier in the development process. This can not only reduce verification time, but also improves the performance of their designs. In this article, we'll explain three practical approaches to early verification that make this possible. First, let's examine why the current algorithm verification process is inefficient and error-prone. In a typical workflow, designs start with algorithm developers, who pass the design to hardware and software teams using specification documents.

A major hurdle in the ambitious quest to design and construct a radically new kind of quantum computer has been finding a way to manipulate the single electrons that very likely will constitute the new machines' processing components or "qubits."

South Korean researchers have recently made a flexible nonvolatile memory based on memristors—fundamental electronic circuit elements discovered in 2008—using thin graphene oxide films. Memristors promise a new type of dense, cheap, and low-power memory and have typically been made using metal oxide thin films. The new graphene oxide devices should be cheaper and simpler to fabricate—they could be printed on rolls of plastic sheets and used in plastic RFID tags or in the wearable electronics of the future. "We think graphene oxide can be a good candidate for next-generation memory," says Sung-Yool Choi, who leads flexible devices research at the Electronics and Telecommunications Research Institute in Daejeon, South Korea. Choi and his colleagues reported their device last week in Nano Letters.

Developed by Japan’s National Agriculture and Food Research Organization and other local institutions, the robot may sound boring (when compared to humanoids, for example), but it’s actually pretty cool. The main bullet points are that it automatically detects how ripe the strawberries are (which fruit is ready for harvesting) and that it cuts the stalks without damaging the strawberries.

1,600-year-old St. Anthony's Monastery restoration took eight years to complete. The announcement comes a month after Egypt's worst incident of sectarian violence in over a decade. Amid the renovations, archaeologists discovered the remains of the original monk cells dating to the 4th century.

Humans aren't the only ones playing soccer right now. In just two days, robots from world-renowned universities will compete in Singapore for RoboCup 2010. This is the other World Cup, where players range from 15-centimeter tall Wall-E-like bots to adult-sized advanced humanoids. The RoboCup, now in its 14th edition, is the world’s largest robotics and artificial intelligence competition with more than 400 teams from dozens of countries. The idea is to use the soccer bots to advance research in machine vision, multi-agent collaboration, real-time reasoning, sensor-fusion, and other areas of robotics and AI. But its participants also aim to develop autonomous soccer playing robots that will one day be able to play against humans. The RoboCup's mission statement:

Scientists from Bielefeld University have come up with a plastic-head robot called Flobi that can express a number of different emotions, and can have it’s appearance reassembled from male to female (or vice-versa) in a couple of minutes.

The question of the relative roles of nanotechnology and AI in forging the shape of the future has been argued in techno-futurist circles for decades. Eric Drexler mentioned AI as a potentially disruptive technology in his seminal 1986 book Engines of Creation, and it was discussed at the very first Foresight conference 20 years ago