Group items tagged

Want to create a song in one click...?

Chicks' ability to add and subtract objects as they were moved behind two screens.

Let's see if we can rise to the challenge... MR - Riemann Hypothesis still there... classic :)

[MaRu] Are you curious about the origin of images I put on my desktop wallpaper? This 2-hours (!) movie should help you understand what they are and where do they come from. Even if you're a biologist ;-) You can watch the trailer here: http://youtube.com

smart!

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.

pretty impressive stuff!

LSTMs: that was also the first thing in the paper that caught my attention! :) I hadn't seen them in the wild in years... My oversight most likely. The paper seems to be getting ~100 citations a year. Someone's using them.

There are a few papers on them. Though you have to be lucky to get them to work. The backprop is horrendous.

Interesting article about theoretical physics theories vs. experimental verification. Can we state that a theory can be so good that its existence supplants the need for data and testing ? If a theory is proved to be untestable experimentally, can we still say that it is a scientific theory ? (not in my opinion)

There is an interesting approach by Feynman that it does not make sense to describe something of which we cannot measure the consequences. So a theory that is so removed from experiment that it cannot be backed by it is pointless and of no consequence. It is a bit as with the statement "if a tree falls in the forrest and nobody is there to hear it, does it make a sound?". We would typically extrapolate to say that it does make a sound. But actually nobody knows - you would have to take some kind of measurement. But even more fundamentally it does not make any difference! For all intents and purposes there is no point in forcing a prediction that you cannot measure and that therefore has noto reflect an event in your world.

"Mathematics is the model of the universe, not the other way round" - M. R.

Big data analytic systems are reputed to be capable of finding a needle in a universe of haystacks without having to know what a needle looks like. The very best ways to sort large databases of unstructured text is to use a technique called Latent Dirichlet allocation (LDA). Unfortunately, LDA is also inaccurate enough at some tasks that the results of any topic model created with it are essentially meaningless, according to Luis Amaral, a physicist whose specialty is the mathematical analysis of complex systems and networks in the real world and one of the senior researchers on the multidisciplinary team from Northwestern University that wrote the paper. Even for an easy case, big data analysis is proving to be far more complicated than many of the companies selling analysis software want people to believe.

Most of those companies are using outdated algorithms like this LDA and just apply them like retards on those huge datasets. Of course they're going to come out with bad solutions. No amount of data can make up for bad algorithms.

Bifurcations, patterns and other visualised mathematical problems for zen. Even found an oscillatory chemical reaction "Belousov-Zhabotinsky". Had no idea such a thing existed :-)

"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."

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

And the interface even looks a bit less retarded than theano

From the section Science & Environment US researchers have developed what they call a "molten glass sewing machine" by combining 3D printing of glass with a mathematical model of how a liquid thread forms different types of loop. When the nozzle releasing a stream of molten glass is raised above a certain level, that thread begins to wobble.

if anybody was still doubting: Gödel was a real genius!

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

"Over the past couple of decades, the research literature has filled up with endless new nature-based metaphors for algorithms. You can find algorithms based on the behaviour of cuckoos, bees, bats, cats, wolves, galaxy formation and black holes. (...) All researchers have been doing is wasting time on developing new approaches that are probably little better than existing ones. And the language of each metaphor then invades the literature, distracting people from using the already sufficiently expressive terminology of mathematics and, above all, working together to find the best way forward." The golden era of fireworks-like algorithm is about to end

Lies, lies, all lies. They will never go away. Papers need to be published.

I wonder if this could be used for irregular adaptive grids? From the description: "One application of the diagram is the idea of Voronoi entropy - a mathematical tool for quantitative characterisation of the orderliness of points distributed on a surface - i.e. how visually 'ordered' the tessellation is. I found this idea particularly fascinating especially when thinking about the aperiodicity and the infinite structure of the Penrose tiling. In these visuals, the Voronoi diagram is created using the vertices of the Penrose as its seed points. This creates a new type of Penrose Tiling, clearly different from the classical Penrose, however still exhibiting the fivefold structure of the original, while 'defects' begin to appear at the peripheries."