Thursday, March 20, 2008

Microsoft Research: Trident Workbench for Zissou Wannabees [Microsoft]

Source: http://feeds.gawker.com/~r/gizmodo/full/~3/254646671/microsoft-research-trident-workbench-for-zissou-wannabees

The major thing consumer press does not actively recognize is how much support Microsoft gives the research world. Everyone covered Worldwide Telescope. But at their Techfest a few weeks ago, one of the most impressive and seemingly selfless feats of the company was in the Trident platform, an oceanographic visualization tool. In short, researchers have always had tons of data for currents, migratory paths of animal sea life, temperature and weather over and in the deep blue. But what to do with that data has always been a major problem. Believe it or not, researchers were required to manually create visual representations of their info, or drown in excel sheets.

Trident is just a set of graphics and database tech common in lots of Microsoft products meant for everyday people and businesses, and handing it to academics. The tools are being run on standard PCs, so academics can collect their data using automated drones and process it in real time. Before, data had to be collected by hand and viewed much later. This is not something you can see any of Microsoft's competitors reaching for any time soon.

Trident: a Workflow Workbench for Oceanography

Redmond lab: Microsoft Research, Redmond, Washington, U.S.Science is undergoing a sea change. Instead of the small, private, periodic data sets currently being used, large, sophisticated, remote-sensor systems soon will bring enormous amounts of real-time data to be shared by multidisciplinary scientists. One such example is Project Neptune for oceanography. To cope with this shift from data-poor to data-rich science, new tools are needed to help scientists work effectively with these systems and with the enormous amount of data that they will generate. Trident is a collaborative scientific and engineering partnership between the University of Washington, the Monterey Bay Aquarium, and Microsoft's Technical Computing Initiative to provide Project Neptune with a scientific-workflow workbench for oceanography. The Trident workbench is built atop the Windows Workflow Foundation. Trident enables users to automate, explore, and visualize data; to compose, run, and catalog experiments; to create a workflow starter kit that makes it easy for users to extend the functionality of Trident; and to learn by exploring and visualizing ocean and model data. We will illustrate how Trident can be used to author workflows through a visual interface, store workflows in a library for easy reuse, and execute oceanographic workflows to create on-demand visualizations. Our booth will include posters that provide context for both the Neptune project and the Trident workflow workbench.


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Gefen USB to DVI Adapter Can Handle Up to 6 Monitors [Adapter]

Source: http://feeds.gawker.com/~r/gizmodo/full/~3/254560255/gefen-usb-to-dvi-adapter-can-handle-up-to-6-monitors

This is not the first time a USB to DVI adapter had come down the pipeline, but the new Gefen adapter can drive an impressive 6 additional displays at 1600X1200 resolution. It is not great for larger monitors by any means, but at only $129 it could be a relatively inexpensive solution. Gefen also notes that it "uses little computer resources" which means that there is at least a chance that this thing won't be a huge processor suck. Additional images after the break.



[Gefen]


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Pix-L UMPC Concept For Bedtime Browsers [UMPCs]

Source: http://feeds.gawker.com/~r/gizmodo/full/~3/254582198/pix+l-umpc-concept-for-bedtime-browsers

The Pix-L UMPC concept from Jean Hong is designed primarily for those who feel compelled to hit the internet first thing in the morning and just before they go to sleep. It even features an alarm clock dock and a design that allows you to flip the device over for easy browsing while lying on your stomach. I don't know if the execs at Microsoft will be clamoring for this design anytime soon, but the idea of integrating the mobile PC into our daily lives in this way is intriguing. Additional pic after the break.

[Jean Hong via Tuve via DVICE]


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RFID credit cards easily hacked with $8 reader

Source: http://feeds.engadget.com/~r/weblogsinc/engadget/~3/254557709/

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The RFID hacks keep coming fast and furious -- hot the heels of that Mifare / Oyster Card exploit, the crew at BoingBoing TV has posted up a little demo of how easy cracking the RFID encryption on an American Express card can be. All it takes is an $8 dollar reader easily available on eBay, some software, and the courage to walk around with a laptop waving plastic boxes at people's butt pockets, but developer Pablos Holman says he's hoping to develop a newer version that will allow him to be a little more discreet. The root of the problem is apparently the fact that the system uses local decryption rather than sending card info to a secure data center, but either way we've been worried about this for a long time -- we're sticking to loose change and the barter system from now on. Video after the break.

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Stanford researchers cram 12,616 tiny lenses into a 3D camera

Source: http://feeds.engadget.com/~r/weblogsinc/engadget/~3/254569149/

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With the megapixel race already past the point of noticeable benefit to consumers, it looks like the next camera arms race will be the number of lenses your rig sports -- a team at Stanford is working on a 3D camera that uses 12,616 micro-lenses to generate high quality 3 megapixel images with self-contained "depth maps" that measure the distance to every object in the frame. The system works by focusing each lens above four different overlapping sensor arrays, which work in concert to determine depth -- just like your eyes. Unlike similar systems, the Stanford rig is able to use that data to create a depth map without lasers, prisms, or even complex calibration, which will allow the team to shrink the tech down to compact and cellphone camera size. Once it's ubiquitous, the teams says depth map information can be used to do anything from enhancing facial recognition systems to improving robot vision, but there's still a long way to go -- the team has just started trying to work out how to manufacture the system.

 

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