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"This system of burners, pipes, flasks and gauges looks like it came straight out of a laboratory. In fact, though, it's a prototype coffee machine-and it could satisfy the technical desires of even the biggest coffee nerd. The Laboratory Espresso Machine was dreamt up by israeli designers David Budzik and Adi Schlesinger. Its design aesthetic is clearly inspired by the contents of a chemistry lab, but it also uses science in the coffee-making process, too: it uses the Venturi effect to adjust pressures and relies on a bunch of complex thermodynamics to ensure water temperature and pressure are consistent."

To honor Alan Turing, we built a simple LEGO Turing Machine, to show everyone how simple a computer actually is. Primary goals were to make every operation as visible as possible and to make it using just a single LEGO MINDSTORMS NXT set. The LEGO Turing Machine is part of the exhibition  Turing's Erfenis  at CWI.

"It is a wonder that we have yet to officially write about probability theory on this blog. Probability theory underlies a huge portion of artificial intelligence, machine learning, and statistics, and a number of our future posts will rely on the ideas and terminology we lay out in this post. Our first formal theory of machine learning will be deeply ingrained in probability theory, we will derive and analyze probabilistic learning algorithms, and our entire treatment of mathematical finance will be framed in terms of random variables."

As if 3D printers weren't mind-blowing enough, iRobot (yes, the company responsible for the Roomba) has just filed a patent for a robot-assisted all-in-one fabricator that can print, mill, drill, and finish a final product - and all without human intervention. Called the "Robotic Fabricator," the system is a precursor to machines that will eventually be able to autonomously construct other machines from scratch - including itself.

Can robots work as scientists? At first, this seems like a silly question. Computers are pervasive in science, and if you walk into a large university lab today, there's a good chance you'll find a fully fledged robot working alongside the lab-coat-wearing humans. Robots fill test tubes, make DNA microarrays, participate in archaeological digs, and survey the oceans. There are entire branches of science-climate modeling and genomics, for example-that wouldn't exist without powerful microprocessors. Machines even play an integral part in abstract fields of discovery. In experimental mathematics, humans rely on computers to inspire new lines of thinking and investigate hypotheses. In 1976, mathematicians used computers to prove the four-color theorem, and machines have since been used in several other proofs.

AT 7 years old, Gilad Elbaz wrote, "I want to be a rich mathematician and very smart." That, he figured, would help him "discover things like time machines, robots and machines that can answer any question."

AT 7 years old, Gilad Elbaz wrote, "I want to be a rich mathematician and very smart." That, he figured, would help him "discover things like time machines, robots and machines that can answer any question."

At least since the followers of Ned Ludd smashed mechanized looms in 1811, workers have worried about automation destroying jobs. Economists have reassured them that new jobs would be created even as old ones were eliminated. For over 200 years, the economists were right. Despite massive automation of millions of jobs, more Americans had jobs at the end of each decade up through the end of the 20th century. However, this empirical fact conceals a dirty secret. There is no economic law that says that everyone, or even most people, automatically benefit from technological progress.

Archaeologists may not need to get their hands so dirty any more, thanks to the kind of digital technology being pioneered at Southampton University. Its 'µ-VIS Centre for Computed Tomography' possesses the largest, high energy scanner of its kind in Europe: a 'micro-CT' machine manufactured by Nikon. Capable of resolutions better than 0.1mm - the diameter of a human hair - it allows archaeologists to carefully examine material while still encased in soil. Using visualisation software, archaeologists can then analyse their finds in 3D. This keeps the material in its original form, and postpones any commitment to the painstaking process of excavation by hand.

Alpha One Labs co-founder Sean Auriti and a group of like-minded hackers have launched a campaign to build Hackert0wn, a Brooklyn hackerspace the likes of which the world has never seen. As planned, Hackert0wn will be an  entire hacker ecosystem complete with retail shops stocked with spare parts, sleeping pods, a gym that feeds power back into the building, a co-working space, private offices, a cafe with a coffee dispensing robot, a dumpling shop, an aquaponic farm that raises fish and produce for nearby residents and restaurants, and a state-of-the art CNC machine shop. Oh, and all the buildings will be built out of recycled shipping containers.

As a child I used to read my grandfather's Popular Science and Popular Mechanics magazines. The constant promise and inevitable disappointment of amazing technologies that mostly never materialized (a problem likely exacerbated by my focus on the amazing and outlandish ones) made me skeptical of futurist predictions. It is somewhat strange then, that I now commonly find myself a proponent of futurist visions equally as grand as those that once made me a cynic. But I'm not alone in seeing the near future as a quickly changing technological landscape. In their recent book Race Against The Machine: How the Digital Revolution is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy, MIT's Erik Brynjolfsson and Andrew McAfee* offer a similarly sweeping view of how technology is, and will be, shaping our future

A new stage play that turns all your ideas about humanity on their head Do we achieve a better sense of self and others by interfacing with our machines? Or are we just losing the true essence of humanity?

The aim of the Askemos project is to enable reliable and justiciable data processing, with the goal of producing "Software that can last 200 years." The first implementations of an Askemos peer can be obtained from ball.askemos.org. The Askemos web site itself is served from the Askemos/BALL development network. Follow here for more details. Note that Askemos concerns the abstract specification exclusively; including data formats, protocols, service interfaces etc. - not the actual implementations. Askemos combines incorruptible privilege delegation and non-repudiable replication of communicating processes into a trustworthy network. Physical machines under control of their operators execute applications processes under permanent multilateral audit. The network's honest majority of hosts provides users with exclusive control, and thus real ownership of processes. Askemos models a kind of "virtual constitutional state" where physical hosts bear witness to the interactions of virtual agents (akin to citizens). Self verifying identifiers can confirm that original documents have not beentampered with. The real potential for using Askemos is for identity and time stamp services, informationmanagement in public administration and libraries attaching metadata and archives, with the goal of establishing robust systems that can endure for centuries. German tax law, for instance, has storage requirements, which makes Askemos interesting even for private, individual use. Also Activist groups, non-profits and people who desire privacy and reliability in a chaotic and unpredictable world have much to gain from this software.

As a child, I always looked up at the stars and wondered how I could make it into space. Hopefully, I will live to see that day, but for now, a homemade satellite will have to do. The Nanosatisfi team has made it their mission "to provide affordable space exploration for everyone!," and with ArduSat, they move one step closer to reality. ArduSat is a Arduino-controlled miniature 10cm cubic satellite, weighing 1 kg, which is roughly equivalent to half a store bought loaf of bread. Its size might not be impressive, but it packs over 25 sensors including: Myspectral's open source spectrometer, inertial measurement unit, magnetometer, along the standard set, and many others. This impressive little machine boasts a camera to take photographs, it could send messages back to earth, or it can run your space experiments. With the ability to upload code directly to the ArduSat while in space, the possibilities are virtually limitless.

I gave a talk in late 2011 at 28C3 in Berlin called "The Coming War on General Purpose Computing" In a nutshell, its hypothesis was this: * Computers and the Internet are everywhere and the world is increasingly made of them. * We used to have separate categories of device: washing machines, VCRs, phones, cars, but now we just have computers in different cases. For example, modern cars are computers we put our bodies in and Boeing 747s are flying Solaris boxes, whereas hearing aids and pacemakers are computers we put in our body. * This means that all of our sociopolitical problems in the future will have a computer inside them, too-and a would-be regulator saying stuff like this: "Make it so that self-driving cars can't be programmed to drag race" "Make it so that bioscale 3D printers can't make harmful organisms or restricted compounds" Which is to say: "Make me a general-purpose computer that runs all programs except for one program that freaks me out."

Malware researchers investigating a Trojan linked in a gaming forum as a how-to video for Diablo III got a surprise when the hacker started chatting with them-through a feature in the malware. Franklin Zhao & Jason Zhou of antivirus company AVG were looking for keylogging code in the malware with a debugger after downloading it to a virtual machine when a chat box popped up. The hacker asked, in Chinese, "What are you doing? Why are you researching my Trojan?"

Eureqa (pronounced "eureka") is a software tool for detecting equations and hidden mathematical relationships in your data. Its goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Eureqa is free to download and use. Below you will find the program download, video tutorial, user forum, and other and reference materials.