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should we do a study on this :-) ?

"Switchable nanomaterials-materials that can change their properties and/or function in response to external stimuli-have potential applications in electronics,..."

To right that appalling wrong, here we attempt to explain the apparently erratic seasonal changes in the world of G.R.R.M. A natural explanation for such phenomena is the unique behavior of a circumbinary planet. Thus, by speculating that the planet under scrutiny is orbiting a pair of stars, we utilize the power of numerical three-body dynamics to predict that, unfortunately, it is not possible to predict either the length, or the severity of any coming winter.

"Quantum mechanics is very successful; nobody's claiming that it's wrong," said Paul Milewski, a professor of mathematics at the University of Bath in England who has devised computer models of bouncing-droplet dynamics. "What we believe is that there may be, in fact, some more fundamental reason why [quantum mechanics] looks the way it does."

They use a technique they call "Empirical Dynamic Modeling" to find correlations between different variables of chaotic systems. Might be interesting for things like climate modeling and similar chaotic systems. The idea seems pretty straight forward but I never encountered it before - so I'm no sure if this is really a new development (curious if anybody else knows). If you are short on time just watch the video embedded in the article.

Just by reading the page and the related material I didn't really get much, but I think it could be worth investing some time in reading more about it. But I'm interested in this, so I'll try to dig deeper!

In the wake of the financial crisis, many started questioning different aspects of the economic formalism. Here a mathematical "dynamic" alternative to economic utility theory (which has also been the target of some famous recent attacks, see prospect theory) is developed and applied to the St. Petersburg coin tossing paradox. A good read at http://scitation.aip.org/content/aip/journal/chaos/26/2/10.1063/1.4940236

Dynamic map of objects currently orbiting Earth.

Shows you stuff... in space!

I'm afraid I take some issue with this rather glorious title. I've only skimmed this paper but looking at the experimental details, their 'imagined universes' comprise of a ball confined in a 2D space as well as a double pendulum. Work along this area is nothing new - it's known in the control community as Inverse Reinforcement Learning - learning dynamics of some system from demonstration trajectories. The paper title ('Toward an AI Physicist for Unsupervised Learning') is more moderate so yet again the issue is how AI is reported in the media...

"In contrast to conventional multipixel cameras, single-pixel cameras capture images using a single detector that measures the correlations between the scene and a set of patterns. However, these systems typically exhibit low frame rates, because to fully sample a scene in this way requires at least the same number of correlation measurements as the number of pixels in the reconstructed image."

Is that the same method Andrej and Jai use in their super-telescope Ariadna?