Group items tagged

electric grid modelling .... Nikolaos could you have a look at this?

To our knowledge this is the first demonstration of in vivo optical imaging of the fast physiological processes that accompany phototransduction in individual photoreceptors.

Looking for some Mars images? You don't have to steal from www.google.com/mars... Take them directly from the provider :-)

fantastic images from the deep sea ...

Dataset automatically constructed from public images uploaded by users on FB/Instagram with hashtags used as labels! They refer to this as 'weakly supervised learning'. Then neural net fine-tuned for ImageNet and achieved record 85.4% accuracy.

Deconvnets for astro images .... resolving galxies :)

"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?

Astronomers using the Hubble Space Telescope have created the deepest multi-color* image of the Universe ever taken: the Hubble Extreme Deep Field, a mind-blowing glimpse into the vast stretches of our cosmos.

I think the image of the pine tree nicely illustrates both effects.

Recently, many competitions in the computer vision domain have been won by huge convolutional networks. In the image net competition, the convolutional network approach halves the error from ~30% to ~15%! Key changes that make this happen: weight-sharing to reduce the search space, and training with a massive GPU approach. (See also the work at IDSIA: http://www.idsia.ch/~juergen/vision.html) This should please Francisco :)

...mmmmm... they use 60 million parameters and 650,000 neurons on a task that one can somehow consider easier than (say) predicting a financial crisis ... still they get 15% of errors .... reminds me of a comic we saw once ... cat http://www.sarjis.info/stripit/abstruse-goose/496/the_singularity_is_way_over_there.png

I think the ultimate solution is still to put a human brain in a jar and use it for pattern recognition. Maybe we should get a stagiaire for this..?

very nice new images from Earth at night

"The forecasts were the product of a series of "summer studies" led by NASA's Ames Research Centre and Stanford University, at which top academics, scientists, and engineers gathered to imagine how future space colonies could look. Artists gave life to the blueprints, producing a stunning series of images that look like a cross between CGI real-estate models (complete with would-be residents smugly sipping wine) and the fantastical worlds of Isaac Asimov."

The International Space Apps Challenge is now over, it is interesting to have a look at the solutions ...

what sort of "app" is this e.g. http://spaceappschallenge.org/challenge/brightest-night/solution/132 "We started of by trying to set our camera in raw mode, howsoever this can't be done for current logitech modules and without a high risk of permanently destroying the camera (reflashing the EEPROM). we use a logitech c920 and captured a raw image from it using guvcview on ArchLinux we then wrote some python code to calculate the average BGR value of our Image. We are currently workin on automiztion, but this will take much longer as there will be a lot of reverse engineering of the USB-Protocol needed."

c'mon really! To name a few: - Tour of the Solar System ... that is one of the numerous specialities of the ACT. - Satellite data correlation tool ... solution is flawed, but I really like the idea. Lot of added value. I definitely think are interestung stuffs to do there for cheap. - Aurora project: Model & Data ... space weather not interesting?! - Kepler ... a classic Do not expect the solutions to be tremendous just after 3 days of work, but the proposed list of challenges are "seeds" for innovation to me.

Check the landing video from the onboard camera - Guido: how well would our optical flow algorithm cope with such images? Looks quite complicated to me....

Note that videos there are said to be "thumbnail" quality, so I think videos with higher resolution (and possibly frame rate) have been acquired, just that they were not downloaded yet.

Interpolation of the images of the curiosity landing. Very nice work!

this is fantastic!!!

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

Researchers in the US and UK say they have invented a new microscopy technique for imaging live tissue with unprecedented speed and resolution. The technique involves using the tiny tip of an atomic force microscope to tap on a living cell and analysing the resulting vibrations to reveal the mechanical properties of cell tissue. The team says that the technique could have widespread applications in medicine. However, another expert in the field suggests that the group has not demonstrated the superiority of the technique to those already available.

HIRISE (High Resolution Imaging Science Experiment) images show flows lengthen and darken on rocky equator-facing slopes from late spring to early fall. The seasonality, latitude distribution and brightness changes suggest a volatile material is involved, but there is no direct detection of one.

from the abstract: "Using a novel imaging and analysis technique on experimental data we estimated pheromone concentrations at all spatial positions in the experimental arena and at different times. Then we derived the response function of individual ants to pheromone concentrations by looking at correlations between concentrations and changes in speed or direction of the ants." [...] "agent based simulations based on the Weber's Law response function determined experimentally produced results compatible with those reported in the literature and reproduced the formation of trails."

Nice article!