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More on these Japanese moon base plans... Those initial surveyor bots will pave the way for the construction of the unmanned moon base near the lunar south pole, which the robots will construct for themselves.

CubeSats + 3D printing... for space. I'm surprised this isn't an ACT project :) more info: SpiderFab: Process for On-Orbit Construction of Kilometer-Scale Apertures

$100,000 from NASA's Innovative Advanced Concepts program to hammer out a design and figure out whether spacecraft self-construction makes business sense .... I can answer for 0$ ..... NO Infact the question is just stupid: a) spacecraft self-construction exist: then it is a no brainer to decide wether it makes business sense b) it does not: then there is no business

Acasa was born out of Singularity University, a unique, world-changing institution founded in 2008 by Ray Kurzweil and Peter Diamandis. After nine weeks at NASA Ames, the home of Singularity University, four teams emerged with projects focused on one common goal-to positively affect the lives of one billion people over ten years. Our team has designed a business plan to leverage advances in rapid 3D additive manufacturing technologies in order to construct affordable, customizable housing for the developing world. This environmentally sustainable solution has the potential to create a powerful new paradigm for improving housing construction using local resources.

cool video, i'd like to see that in reality... Though i'm not sure it would be less expansive than the very cheap workers you can get on site ! You need to build the robot, to bring it on-site, highly specialised enginneers to supervize the project, etc...

yeah I am not sure about that either but the idea seems nice though

By focusing our defense resources into a space-superiority platform and weapon system such as a Death Star, the government can spur job creation in the fields of construction, engineering, space exploration, and more, and strengthen our national defense.

Bad news from this frontier: https://petitions.whitehouse.gov/response/isnt-petition-response-youre-looking As the Americans are not going for it, it might be a good opportunity for Europeans to make a real difference in space.

Merkel seems anyway a bit short of ideas ...

Just a small step till we can compute trajectories in our blood cells...

Really cool research. I think that the potential of analog computing has been neglected for quite a long time. Building the whole thing within a single cell makes it only more awesome.

These people want to construct a synthetic human genome

"The concept of the cosmic web-viewing the universe as a set of discrete galaxies held together by gravity-is deeply ingrained in cosmology. Yet, little is known about architecture of this network or its characteristics. Our research used data from 24,000 galaxies to construct multiple models of the cosmic web, offering complex blueprints for how galaxies fit together. These three interactive visualizations help us imagine the cosmic web, show us differences between the models, and give us insight into the fundamental structure of the universe."

Metamaterials that absorb seismic waves rather than steer them, might be a better way to protect some buildings, say engineers

what are seismic metamaterials?

must look funny ... They calculate the properties of such a metatmaterial and how it might be constructed with a basic repeating unit in the form of a concrete cylinder some 18 metres in diameter, with four perpendicular holes in its sides (see picture). These cylinders, perhaps varying in size to absorb a range of seismic wavelengths, would need to surround the foundations of a building in cylindrical shells some 60 metres across. That needn't be prohibitively expensive but it would be a big structure that could only be constructed around isolated buildings (thereby somewhat negating the supposed benefit that other buildings in the earthquake 'shadow' might also be protected).

:-)

This is related to the "Verified Software" item in NewScientist's list of ideas that will change science. At the link below you'll find the text of the patents being auctioned: http://icapoceantomo.com/item-for-sale/exclusive-license-related-improved-methodology-formally-developing-control-systems :) Patent #7,627,538 ("Swarm autonomic agents with self-destruct capability") makes for quite an interesting read: "This invention relates generally to artificial intelligence and, more particularly, to architecture for collective interactions between autonomous entities." "In some embodiments, an evolvable synthetic neural system is operably coupled to one or more evolvable synthetic neural systems in a hierarchy." "In yet another aspect, an autonomous nanotechnology swarm may comprise a plurality of workers composed of self-similar autonomic components that are arranged to perform individual tasks in furtherance of a desired objective." "In still yet another aspect, a process to construct an environment to satisfy increasingly demanding external requirements may include instantiating an embryonic evolvable neural interface and evolving the embryonic evolvable neural interface towards complex complete connectivity." "In some embodiments, NBF 500 also includes genetic algorithms (GA) 504 at each interface between autonomic components. The GAs 504 may modify the intra-ENI 202 to satisfy requirements of the SALs 502 during learning, task execution or impairment of other subsystems."

ecological construction and environmental protection of a city cluster and more than CNY500 billion will be invested to build this eco-city cluster, which is to be centered on Wuhan.

A critical view on Prof. Markram's Blue Brain project (in German).

As far as I know it's sort of like "Let's construct an enormous dynamical system and see what happens"... i.e. a waste of taxpayer's money... Able to heal Alzheimer... Yeah... Actually I was on the conference the author is mentioning (FET 2011) and I have seen the presentations of all 6 flagship proposals. Following that I had a discussion with one of my colleagues about the existence of limits of the amount of bullshit politicians are willing to buy from scientists. Will there be a point at which politicians, despite their total ignorance, will realise that scientists simply don't deliver anything they promise? How long will we (scientists) be stuck in the viscous circle of have-to-promise-more-than-predecessors in order to get money? Will we face a situation when we'll be forced to revert to promises which are realistic? To be honest none of the 6 presentations convinced me of their scientific merit (apart from the one on graphene where I have absolutely no expertise to tell). Apparently a huge amount of money is about to be wasted.

It's not just "Let's construct an enormous dynamical system and see what happens", it's worse! Also the simulation of the cosmological evolution is/was a little bit of this type, still the results are very interesting and useful. Why? Neither the whole cosmos nor the human brain at the level of single neurons can be modelled on a computer, that would last aeons on a "yet-to-be-invented-extra-super-computer". Thus one has to make assumptions and simplifications. In cosmology we have working theories of gravitation, thermodynamics, electrodynamics etc. at hand; starting from these theories we can make reasonable assumptions and (more or less) justified simplifications. The result is valuable since it provides insight into a complex system under given, explicit and understood assumptions. Nothing similar seems to exist in neuroscience. There is no theory of the human brain and apparently nobody has the slightest idea which simplifications can be made without harm. Of course, Mr. Markram remains completely unaffected of ''details'' like this. Finally, Marek, money is not wasted, we ''build networks of excellence'' and ''select the brightest of the brightest'' to make them study and work at our ''elite institutions'' :-). I lively remember the stage of one of these "bestofthebest" from Ivy League at the ACT...

China broke ground on its fourth space center Monday, highlighting the country's soaring space ambitions six years after it sent its first man into orbit. - .6.000 people had to be relocated for the construction

> 6.000 people had to be relocated So what? It's less than 0.0005% of the population...

Australian government approved the construction of one of the biggest wind farms of the world

Combined method of construction and transportation for access to space of distributed heavyweight cargo and personnel with safe, economical and renewable characteristics.

"weapons for mass construction" - they want to solve everything with a new type of internet. including "swarm awareness" and "hive intelligence"

The object being imaged or stimulated with subwavelength accuracy does not need to be in the immediate proximity of the superlens or field concentrator: an optical mask can be designed that creates constructive interference of waves known as superoscillat

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.

"Windows and solar panels in the future could be made from one of the best -- and cheapest -- construction materials known: wood. Researchers at Stockholm's KTH Royal Institute of Technology have developed a new transparent wood material that's suitable for mass production"