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To catalyze, support, and disseminate research on questions at the foundations of physics and cosmology, particularly new frontiers and innovative ideas integral to a deep understanding of reality but unlikely to be supported by conventional funding sourc

Cost-effective supercomputing wins academic praise. A loose idea now in Nature

sorry for the german ... but underlines the unfortunately failed idea storm proposal I made :-)

like the idea ....

an interesting comic about maths, ideas etc. Co-written by a greek mathematician / writer and a Berkeley computer science professor, sold out in Greece and since its international release a couple of months ago is occupying the top selling comics lists of Amazon etc. also: http://www.logicomix.com/en/index.php?option=com_content&view=frontpage&Itemid=53

btw I just ordered it from Amazon, so if you want after I finish it I can lend it

nice article reflecting on how to best "protect" ideas ....

"we should not forget that the technical solution disclosed in this article is only 5% of illusion" Certainly... but I wonder how did they measure it?

Obviously, they subtracted the percentage amount of bullshit from the total :P

This is the guy of Luzy's joke: "Dear, this is not what it seems. I can explain EVERYTHING!"

yeah an interesting theory, definitely worth following. But it is far from being mature, and a lot of work remains before saying that it is viable or not... I posted something on this some time ago (http://www.diigo.com/user/pacome/horava_theory) and proposed to do smthing on it in the idea storm (our new creative game...), which didn't have a lot of success... I like also the idea of matrix gravity (see Matrix general relativity: a new look at old problems, Ivan G Avramidi, CQG 21, 103)

you are among what???

An interesting research centre in California! Focus areas: Business Services Electronic Materials, Devices, & Systems Information & Communication Technologies Biomedical Systems Cleantech

XEROX PARC was definitely heavily involved in computer development: eg. mouse, GUI, ethernet, OO programming, all came out of PARC, and all that without focusing on computers but printers...

aaah its the XEROX centre, didn't know. Yep they made the mouse and then handed it over nicely to Apple after IBM thought it was useless

nice and apparently simple idea to get 3D

Actually on these videos it seems to look very nice at times... have you tried it with your i-whatever?

not yet ...

We're all here about inventiveness and creativity, so here you go... Story of a guy who's life's motto has been "Gold lies on the streets and you just need to dig it up with ideas. Ideas are like the shovel" Add to it Monte Carlo, Marlene Dietrich and, say, King Farouk and you get quite an amazing story... And most of all, after reading this you'll know the value of knowing how to ski.

nice story indeed ...

nice ideas ...

"When in the desert he came up with the idea to use the two dominating features in the desert -- the sun and the sand -- in his next project.". I wonder where we should send him next.

Arts project with implications for space science... Awesome! Note how this guy is dressed in the middle of an Egyptian desert, lol...

"The OpenBCI Board is a versatile and affordable analog-to-digital converter that can be used to sample electrical brain activity (EEG), muscle activity (EMG), heart rate (EKG), and more" Perhaps some work or ideas on brainwave analysis would be interesting ? (User interfaces, mood classifier, detection of various alertness levels )

It's not worth it for $400... The chips are seriously nothing special and you can get a lot better for a lot cheaper. I would just get the electrodes and link them to a RPi or an Odroid or something.

True, but the selling feature here is that they take care of that stuff and sell it for 400$. Lets say the hardware is 100USD, then an RF-grade person here here has to do the coding, interfacing, testing within roughly (300/16eur/hour) 20 hours to break even and even then the interface is much nicer in their case.

Jeremy England, a 31-year-old assistant professor at the Massachusetts Institute of Technology, has derived a mathematical formula that he believes explains this capacity. The formula, based on established physics, indicates that when a group of atoms is driven by an external source of energy (like the sun or chemical fuel) and surrounded by a heat bath (like the ocean or atmosphere), it will often gradually restructure itself in order to dissipate increasingly more energy. This could mean that under certain conditions, matter inexorably acquires the key physical attribute associated with life. The simulation results made me think of Jojo's attempts to make a self-assembling space structure. Seems he may have been on the right track, just not thinking big enough

:-P Thanks Thijs... I do not agree with the premise of the article that a possible correlation of energy dissipation in living systems and their fitness means that one is the cause for the other - it may just be that both go hand-in-hand because of the nature of the world that we live in. Maybe there is such a drive for pre-biotic systems (like crystals and amino acids), but once life as we know it exists (i.e., heredity + mutation) it is hard to see the need for an amendment of Darwin's principles. The following just misses the essence of Darwin: "If England's approach stands up to more testing, it could further liberate biologists from seeking a Darwinian explanation for every adaptation and allow them to think more generally in terms of dissipation-driven organization. They might find, for example, that "the reason that an organism shows characteristic X rather than Y may not be because X is more fit than Y, but because physical constraints make it easier for X to evolve than for Y to evolve." Darwin's principle in its simplest expression just says that if a genome is more effective at reproducing it is more likely to dominate the next generation. The beauty of it is that there is NO need for a steering mechanism (like maximize energy dissipation) any random set of mutations will still lead to an increase of reproductive effectiveness. BTW: what does "better at dissipating energy" even mean? If I run around all the time I will have more babies? Most species that prove to be very successful end up being very good at conserving energy: trees, turtles, worms. Even complexity of an organism is not a recipe for evolutionary success: jellyfish have been successful for hundreds of millions of years while polar bears are seem to be on the way out.

NASA validates the EmDrive (http://emdrive.com/) technology for converting electrical energy into thrust. (from the website: "Thrust is produced by the amplification of the radiation pressure of an electromagnetic wave propagated through a resonant waveguide assembly.")

I have to join the skeptics on this one ...

Here we go! AI for Mario has arrived. What is still missing is the Italian accent in his robo-voice though. To compensate for that, we have a lot of German accent in the Youtube-video. Make sure to check it out if you always liked the background music from the games. Putting the trolling aside, I honestly like the idea! There is still some way to go, but maybe we will watch and even pay to be able to see twitch-streams of self-ware bots one day?

I'm actually considering doing an twitch-bot channel. Why pay when you can cash in? Kind of lazy tho`

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.

Wow, this seems like a good idea ... I wonder why we did not have it before .....

interesting idea to produce O2 differently on Mars

Also, let's see how MOXIE does onboard the Mars2020 rover! https://mars.nasa.gov/mars2020/mission/instruments/moxie/for-scientists/

A new class of exotic materials could find its way into next-generation technologies that efficiently convert waste heat into electrical current according to new research. Both the exotic materials and the means by which they generate electricity rely on a hybrid of advanced concepts-including string theory combined with black holes combined with cutting-edge condensed matter physics.

Sounds spooky