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Similar to the GSP related driller study.

Interesting point, could we find other applications of rogue algorithms that may perform better than classically well-behaved ones?

Useful journal for the upcoming Earth Systems Science. For geoengineering, check out this: http://www.atmos-chem-phys-discuss.net/9/2559/2009/acpd-9-2559-2009.pdf (currently first on the list of this bookmark)

Flies that learn a task better die earlier. They say its the increased brain use that wears them out...

A new and amazing method for neuron staining.

A rough guide to Scientific Computing On the PlayStation 3

Albeit a bit dated, this is the classical Eric Raymond paper about the self-organizing open source model (the bazaar) compared to the usual closed software development model (the cathedral). Is science today more a bazaar or a cathedral?

funny .... this is exactly the book that Franco mentioned during one of the first meetings I had with him on the ACT, our research, how to organise, the potential of new ways of cooperating etc ...

Science today is a Basilica.

impressive, particularly if it works like it does in the video the whole time. paper here http://mi.eng.cam.ac.uk/~qp202/

Well, impressive indeed... have to try it out...

apparently competitive with CNT and others in performance, while as you would expect very cheap. anyone know what happens to chicken feathers in a vacuum?

A good example of how loosing perspective makes so-called "novel ways" actually "rubish ways"

here the paper: http://arxiv.org/abs/1104.1401 well spent defence funding ....

I was so shocked not to see Dario in the authors list!

still practically as an ACT paper ... the first author was the first RF of the team and the one who suggested Dario ...

Yeah I've figured it out from his CV at the end of the article after posting :)

Not exactly new, but apparently never appeared on Diigo. I'm very sceptical about the topic (of course!), but interesting thoughts anyway.

looooong paper ...

enjoy measuring ...

nobody viewing this paper ... strange ...

Tokyo has a very large population and one of the smallest crime rates in the world, in fact Tokyo is known to be the safest big city in the world (w.r.t. crime). It is hard to believe that the crime rate in L.A. is in the same order of magnitude.

"In an effort to help solve the black hole information paradox that has immersed theoretical physics in an ocean of soul searching for the past two years, two researchers have thrown their hats into the ring with a novel solution: Lasers. Technically, we're not talking about the little flashy devices you use to keep your cat entertained, we're talking about the underlying physics that produces laser light and applying it to information that falls into a black hole. According to the researchers, who published a paper earlier this month to the journal Classical and Quantum Gravity (abstract), the secret to sidestepping the black hole information paradox (and, by extension, the 'firewall' hypothesis that was recently argued against by Stephen Hawking) lies in stimulated emission of radiation (the underlying physics that generates laser light) at the event horizon that is distinct from Hawking radiation, but preserves information as matter falls into a black hole."

The scientific rationale behind it is that at km-depth there could be a) water resources (which could support a biosphere) and b) understand the formation of Mars. I would argue that an efficient drilling (robot) is also valuable for possible developing underground habitation (caves) at some point. This paper mentions two drilling concepts, but we could come up with many more (bio-inspired) probably. Daniel already came up with a nice one.. microwave drilling Also, the NASA InSight probe to Mars in 2016 is using a DLR-designed 'Mole' drill that is designed to reach a depth of... 5 meters

In this case I was thinking more about a smaller and controlled digging effort.. not ablating a football field sized hole

Nice one! plenty of examples in nature for this

Other possible study: get a textbook example of an image of a pen, evolve it just enough so NN can't recognize it anymore, while minimizing the distance between the original and evolved images. EDIT: Its been done already: http://cs.nyu.edu/~zaremba/docs/understanding.pdf

Of course, you can't really use them to extrapolate. The unknown unknown is always the trickiest :P They should just make another class "random bullshit", really and dump all of this stuff in there. I think there's a potential paper right there

Big Data bring new opportunities to modern society and challenges to data scientists. On the one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation, incidental endogeneity and measurement errors. These challenges are distinguished and require new computational and statistical paradigm. This paper gives overviews on the salient features of Big Data and how these features impact on paradigm change on statistical and computational methods as well as computing architectures.

Good news for fundamental physics and Earth system science, femtosecond lasers are now about to achieve space qualification thanks to fibre optics!  Applications include high resolution spectroscopy, absolute laser ranging, mapping of the geo-potential and testing of the theory of general relativity to name a few!

nice paper by the Koreans, did not know that they had already such a laser in orbit for a year. How much would this type be upscalable for our needs? in case we have not, we should reference it