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 would well imagine a team at an other space institution, with their own diigo, commenting on that news ... ;p
Interesting trend nonetheless. At the NASA Space Apps Challenge, few teams proposed a similar G&C application but for the rover Curiosity... this is certainly a good approach for citizen science.
Another Star Trek technology :)
Might have an positive psychological effect if astronauts on long term missions could virtually escape their confinement - walking through a labyrinth with the blue sky above them. Ok, ISS does not provide enough space, but on Moon or Mars...
The French Space Agency (CNES) commissioned Damien Labrousse to recreate the Jupiter Mission Control Room in Lego for display at the Kourou spaceport. The impressive build features 6,000 bricks, 80 minifigs, a working video screen that shows the rocket launch sequence and a sound system, displaying launch countdown.
There has been much recent interest in accelerating materials discovery. High-throughput calculations and combinatorial experiments have been the approaches of choice to narrow the search space. The emphasis has largely been on feature or descriptor selection or the use of regression tools, such as least squares, to predict properties. The regression studies have been hampered by small data sets, large model or prediction uncertainties and extrapolation to a vast unexplored chemical space with little or no experimental feedback to validate the predictions. Thus, they are prone to be suboptimal. Here an adaptive design approach is used that provides a robust, guided basis for the selection of the next material for experimental measurements by using uncertainties and maximizing the 'expected improvement' from the best-so-far material in an iterative loop with feedback from experiments. It balances the goal of searching materials likely to have the best property (exploitation) with the need to explore parts of the search space with fewer sampling points and greater uncertainty.
For a Few Dollars More ...
Except for this debatable purpose, this challenge seems interesting. They've made a presentation at ESTEC one month ago about that topic :
http://www.kiss.caltech.edu/study/asteroid/20120314_ESA_ESTEC.pdf
By the way, KISS is a funny name for a space institute.
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.
The only way to study the conflict between relativity and quantum mechanics is to test them over enormous distances in space. And physicists are already making plans
the ArduSat (Arduino - satellite) will be the first open platform allowing the general public to design and run their own space-based applications, games and experiments, steer the onboard cameras to take pictures on-demand, and even broadcast personalized messages back to Earth.