NVidia has just announced the newest entrant into the ever-growing CUDA Center of Excellence program, Stanford University. Stanford already has a CUDA architecture and parallel computing program, so adding them to the Center of Excellence program is really a mere formality.
“It’s vitally important that our faculty be at the forefront of computing technology so that we can continue developing state-of-the-art computational algorithms that drive innovation in the sciences and engineering,” said Margot Gerritsen, director, Institute for Computational & Mathematical Engineering, and associate professor, Department of Energy Resources Engineering, at Stanford University. “This award allows us to broadly expand parallel computing education and research programs to large numbers of researchers and students from a wide variety of disciplines.”
The grants provided by NVidia as part of the program will be used to support some new research programs on mesh-based solvers for partial differential equations and probability and uncertainty quantification work.
The Stanford Medical University has a new toy from Anatomage that provides lifelike interactive visuals with a multitude of anatomical datasets.
The new virtual dissection table takes advantage of 20th-century technological advancements in imaging, such as X-rays, ultrasound and MRIs, and combines them for use in a 7-foot by 2.5-foot screen. At Stanford, the table is being tested as a way to further enhance that age-old teaching method — the dissection of human cadavers.
Costing $60,000, it’s part of a new wave of technology that integrates VR, touchscreens, 3d visuals, high-resolution data scals, and more into a realistic educational tool. In addition to simply using it for education, Stanford is working on a “Searchable Digital Anatomical Library” that they can use with it to offer their extensive library of medical scans to other institutions.
This week at Strata, Stanford announced a new app called “Data Wrangler” to make cleaning data easier. Looking very similar to the previously discussed “Google Refine“, it allows you to quickly and easily reformat and clean data for import into Excel, R, Tableau, and Protovis.
You can read about the creation of the tool in this Whitepaper. Unlike Google Refine’s design of “Search for data, then Clean it as a batch”, DataWrangler seems to work on something called the “Wrangler Transformation Language” which looks a bit like SQL. Two different methods to achieve the same result, I guess only time will tell which one wins.
Scientists and Students at Stanford envision a world where the software that runs on digital cameras is similar to what currently runs on mobile devices and netbooks, and open-source user-modifiable operating system where new features can be downloaded onto the device. To this end they’ve created their own camera to demonstrate it.
Computer science graduate student Andrew Adams, who helped design the prototype of the Stanford camera (dubbed Frankencamera,) imagines a future where consumers download applications to their open-platform cameras the way Apple apps are downloaded to iPhones today. When the camera’s operating software is made available publicly, perhaps a year from now, users will be able to continuously improve it, along the open-source model of the Linux operating system for computers or the Mozilla Firefox web browser.
Between the recent economic collapse, the presidential election, and the many celebrity deaths, the media has been cranking out one-liners and soundbites quicker than we can process them. MemeTracker, from researchers at Stanford and Cornell, visualizes popular memes over a three-month period. Containing such classics as “lipstick on a pig” (Barack Obama on Sarah Palin) and ” I fell in love with my country when I was a prisoner in someone else’s”, (John McCain, on his POW experience) it’s an interesting visualization showing how the phrases evolve and keep returning cyclically.
The researchers have published a paper describing the algorithms used to catalog, group, and analyze the 90 million articles gathered for the project. The paper is available here.
NVidia has just announced the newest entrant into the ever-growing CUDA Center of Excellence program, Stanford University. Stanford already has a CUDA architecture and parallel computing program, so adding them to the Center of Excellence program is really a mere formality.
The Stanford Medical University has a new toy from Anatomage that provides lifelike interactive visuals with a multitude of anatomical datasets.
Scientists and Students at Stanford envision a world where the software that runs on digital cameras is similar to what currently runs on mobile devices and netbooks, and open-source user-modifiable operating system where new features can be downloaded onto the device. To this end they’ve created their own camera to demonstrate it.
Between the recent economic collapse, the presidential election, and the many celebrity deaths, the media has been cranking out one-liners and soundbites quicker than we can process them. MemeTracker, from researchers at Stanford and Cornell, visualizes popular memes over a three-month period. Containing such classics as “lipstick on a pig” (
VizWorld.com 
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