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In driver 334.89 NVIDIA introduced a new proprietary rendering mode for 3D Vision that enables us to improve the 3D experience for many key DirectX 10 and 11 games. This mode is now called “3D Compatibility Mode”. We have continued to iterate on this feature in driver 344.11, increasing game support and adding some new interface elements. You can get the new driver at www.geforce.com/drivers or via the update option in Geforce Experience. With the release of 344.11, new 3D...
We’re fortunate enough to have another fine 3D video from New Media Film Festival to share with you here on 3DVisionLive—a pop music video from Italy called “The Way,” which you can view here. Even better, New Media Film Festival has provided an interview with one of the co-directors of the video, Edoardo Ballanti, which provides insights on how the video was created and the vision behind it. Enjoy! (Alice Corsi also co-directed the video.) What was the Inspiration behind “...
The Fall Photo Contest received nearly 100 images – thanks to all that entered! The contest called for your best “nature” shots with the only other requirement being that they had to be true stereo images. Submissions ranged from shots of spiders in gardens to artistic approaches to tasteful nudes. As before, members were invited to vote for the winner by tagging images in the contest gallery as favorites. Without further ado, the winner is: Autumn Goodbye to Summer This...
In driver 334.89 NVIDIA introduced a new proprietary rendering mode for 3D Vision that enables us to improve the 3D experience for many key DirectX 10 and 11 games. This mode is now called “3D Compatibility Mode”. We have continued to iterate on this feature in beta driver 337, increasing game support and adding a toggle key to enable/disable the mode. Games with 3D Compatibility Mode will launch in this mode by default. To change the render mode back to standard 3D Vision...
3DVisionLive’s first-ever short-form 3D video contest received 14 entries that showed a great deal of diversity, ranging from video game captures to commercial-style clips to raw captures of pets or people doing cool things (such as bashing each other with swords). During judging we laughed, we cried (okay, maybe not), and we simply scratched our heads…. But seriously: thank-you to all that participated and we hope to see more of your content uploaded to the site for all to...

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Our NVIDIA Graduate Fellowship Program awarded $25,000 this week to five Ph.D. students involved in GPU computing research.

“These exceptional grad students are helping to define the future of computing, and we’re delighted to support their work,” said NVIDIA Chief Scientist Bill Dally.

The NVIDIA Graduate Fellowship supports graduate students doing GPU-based work. We selected our fellows from more than a hundred applicants in 21 countries.

The winners:

Yu-Hsin Chen, Massachusetts Institute of Technology

Yu-Hsin researches energy-efficient computer vision frameworks for mobile platforms. He’s also looking into improving current GPU architectures with an emphasis on providing machine learning capabilities in multimedia systems.

Brian Cheung, University of California, Berkeley

Brian explores the hidden factors of variation learned in deep networks, finding correspondences between deep learning algorithms and the human visual system, and using data-driven methods to discover properties of visual processing in the brain.

Felix Heide, University of British Columbia

Felix is interested in numerical optimization methods for large scale inverse problems in computational imaging and vision. He uses GPUs to enable algorithms for statistically motivated image and vision reconstruction tasks such as non-line-of-sight imaging using time-of-flight sensors, where the goal is to “make the invisible visible.”

Benjamin Keller, University of California, Berkeley

Ben works on more energy-efficient digital design through optimization of the entire hardware stack, from architecture to devices. Smarter algorithms for dynamic voltage and frequency scaling, coupled with integrated on-chip regulators that achieve nanosecond switching and high efficiency, could reduce the energy consumption of many hardware applications.

Gennady Pekhimenko, Carnegie Mellon University

Gennady focuses on energy-efficient memory systems using hardware-based data compression. He discovered a series of mechanisms that exploit the redundancy in applications’ data to perform efficient compression in caches and main memory, providing higher effective capacity and higher available bandwidth across the memory hierarchy.

In addition, this year we also have a Graduate Fellow sponsored by our NVIDIA Foundation as part of their Compute the Cure initiative, which aims to advance the fight against cancer: 

John Neylon, University of California at Los Angeles

John researches adaptive radiation therapy based cancer treatments. He’s developing a framework using image registration and predictive biomechanical models for regression tracking, dose estimation, and extrapolation. Accelerating these tasks with GPUs will allow integration into existing clinical workflows and provide physicians with information for optimizing treatments to the patient’s anatomy.

We also acknowledge our six finalists:

  • Neha Agarwal, University of Michigan
  • Forrest Iandola, University of California at Berkeley
  • Viktor Kampe, Chalmers University of Technology
  • Ji Kim, Cornell University
  • Jui-Hsien Wang, Cornell University
  • Liwei Wang, University of Illinois at Urbana-Champaign

The NVIDIA Graduate Fellowship Program is open to applicants worldwide. For more, visit our website.

 

The post NVIDIA Awards $25,000 Fellowships to PhD Students for GPU Computing Research appeared first on The Official NVIDIA Blog.

What does it take for a high schooler to build a competitive robot?

Space Cookies robot at FIRST Silicon Valley Regional

Moxie. Brainstorming. And a kit of common parts, for starters.

High school students from around the world are gearing up to showcase their innovative builds for the FIRST Robotics Competition, held in St. Louis, Mo., April 22-25. But the work that went into their robots started many, many months ago.

Students and their engineer mentors brainstorm efficient building methods throughout the year. By the time the kits from For Inspiration and Recognition of Science and Technology, or FIRST, arrive in January, everyone is buzzing with ideas.

Collaboration and competition are at the heart of FIRST. Students problem solve from the get go, relying on mentors and one another, as they learn to use sophisticated software and hardware.

Their goal: to reach the World Championship in St. Louis, where $20 million in college scholarships is at stake.

The competition run by FIRST, a nonprofit founded more than two decades ago by Segway inventor Dean Kamen, is designed to drive student interest in science, technology, engineering and mathematics, known as STEM.

Six-Week Countdown

Recycle Rush competition at Silicon Valley Regional

Once the kits arrive, it’s a six-week countdown to strategize, design, and build a wirelessly controlled bot weighing up to 120 pounds. By mid-March, students have to “tag and bag” their bots and await the regional competitions.

The robots must be able to complete various tasks in a themed game, such as scoring balls into goals, or placing inner tubes on racks. This year’s theme, Recycle Rush, involves stacking containers and recycling cans in scoring areas and filling them with foam “litter.”

Teams test their bots in every conceivable way to prepare for the grueling regional competitions. While each starter kit is the same, teams can “hack” their robots with other gear as long as it meets FIRST guidelines. At the regional competitions, robots are “unbagged,” allowing students eight hours to make updates and fixes.

Regional Games of Reckoning

More than 3,000 teams comprising 75,000 high school students compete. The first battles play out in almost 60 regional events.

NVIDIA is sponsoring nine schools this year, including ones from Israel, Detroit and several local to Silicon Valley. Among these, Presentation Invasion, from San Jose’s all-girl Presentation High School, used our K600 GPUs in its robot build.

Space Cookies work on their robot at Silicon Valley Regional

Three teams have already secured spots at the championship in St. Louis.

One of them, Space Cookies, an all-girl robotics team also sponsored by Girl Scouts of Northern California and NASA, won the prestigious Chairman’s Award at the FIRST Robotics Competition in San Antonio.

Another, WarriorBorgs, took home the Chairman’s Award at the Silicon Valley Regional, where it also garnered individual awards for showing leadership in science learning and in safety practices.

And a third, Spartan Robotics, from Mountain View High School, also competed in the Silicon Valley Regional. It earned a wildcard place in the championship and received an award for excellence in engineering.

Along with the games, there’s some fun.

Competitors dye their hair crazy colors to match their team t-shirts. Silly mascots dangle in robot “work pits.” And then there are the decorations.

Red lanterns sway in the booth hosted by a team from China, rivaling the palm fronds and tropical flowers wreathing the Hawaii team’s booth.

Box of pins at FIRST Robotics Silicon Valley Regional

Most popular of all are the commemorative pins branded with logos offered by each team. By the end of the event, students sport t-shirts covered with pins from their rivals. It’s a fun way to kick back before the brainstorming for next year begins.

Here’s a video NVIDIA submitted to FIRST, which you can vote on. The video with the most votes will be shown on a jumbotron in the stadium in St. Louis, where the championship is being hosted.

The post Race to St. Louis: Regional Robot Battles Set Scene of FIRST Competition appeared first on The Official NVIDIA Blog.