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We're proud to officially unveil the NVIDIA® GeForce® GTX 680, a next-generation GPU that delivers more than just state-of-the-art features and technology. It gives you truly game-changing performance that taps into the powerful next-generation GeForce architecture to redefine smooth, seamless, more realistic gaming. As 3D Vision users/fans the benefits of the new graphics architecture can be summed up in three main areas: Faster Innovative new...
And the Winner Is...   Our apologies for being a bit tardy in getting the results of the February photo contest posted - but good things come to those that wait... Without further ado, the winner is (cue drumroll please): "Warehouse in Wonderland", submitted by Nick Saglimbeni. We sure you'll agree that this shot features excellent composition and lighting control - as well as creative use of backlighting for a 3D subject. We also liked the...
3DVisionLive.com is excited to unveil the third in a series of monthly photo contests aimed at giving you a platform to show off your images and potentially win some cool prizes. The May Photo Contest is similar to April's and is open to legal residents of the United Kingdom, Germany, France, Norway, Sweden, Finland, Czech Republic, Russia, Australia, and the United States and Canada. Contest Rules The contest is open for submissions right now! So start...
With the launch of our 3D Vision® 2 glasses, it was easy to overlook advancements being made on 3D Vision-Ready monitors. Product Manager Michael McSorley walks you through the latest and greatest developments in the display category.  Other than the obvious advantage of an increase in the maximum size for 3D Vision panels—from 24-inches to 27-inches—there are really two primary game-changing features that you should be aware of: 3D LightBoost and...
Just because you don’t have a 3D camera does not have to mean you can’t participate in 3D photography—thanks to companies such as 3Defy, which make software that you can use to transform your 2D images into stereoscopic 3D shots you can view with your 3D Vision™ hardware. The 3Defy name may already be a bit familiar to you if you frequent the site—we’ve been featuring a lot of their content on 3DVisonLive to give you a taste of what...

Recent Blog Entries

School is the last place most kids want to be over the summer. But then, most summer school classes don’t involve building race cars. And they especially don’t involve autonomous race cars.

Yet that’s exactly what nearly 40 high schoolers did at MIT’s Beaver Works Summer Institute. Leaving the swimming and s’mores to their classmates, these students pursued a bigger adventure — learning about self-driving car technologies.

In four-week program sponsored by NVIDIA, the students soaked up knowledge about topics like object detection, mapping and localization from leading lights at MIT, the NASA Jet Propulsion Laboratory and Harvard University.

They broke into nine teams to engineer their own autonomous mini-hotrods powered by NVIDIA Jetson TX1 embedded supercomputers. They closed the program by racing them in the MIT Mini Grand Prix.

Teens watched their self-driving cars race around the track in MIT’s Mini Grand Prix. Image courtesy of MIT. Students Who Love Tech

Maryam Ahmad, a 17 year old from New Hampshire, was a member of the Crazy Eights team, which swept the Grand Prix by winning in all three categories: speed, innovation and “most flair.”

Although Ahmad has a longstanding interest in biology, “this really unleashed my interest in robotics,” she said. But the learning went beyond expanding her science horizons. “Every day, I gained new technical and communications skills, and every day I became a better teammate,” she said.

Sixteen-year-old Syed Hassan of New York has a long-time interest in technology, especially robotics, and the MIT program only amplified that. “You can have robots do everyday tasks so you can put time and attention into things that matter more,” he said.

Self-Driving Car Class Boosts Student Prospects

Students came to the MIT autonomous car class from across the country — 13 states and Puerto Rico. To be eligible, they had to take a self-paced online course during their spring semester to beef up their skills in areas like computer vision and Python programming, which they’d need for the fast-paced summer session. The best students got to attend the free program at MIT. Another 20 students participated in a similar class remotely.

“In many high schools, there are strong computer science programs that focus on abstract concepts, or robotics classes that only focus on hardware,” said Sertac Karaman, an MIT professor of aeronautics and astronautics who helped run the program.

Karaman said he aims to complement the students’ high school studies.

“The hope is that when we look back at their careers in 10-20 years, they’ll be doing wonderful things,” he said. “Learning to be part of a team and to be entrepreneurial will create a positive impact in their lives beyond high school.”

Students ready for a chance to race their miniature self-driving cars during the MIT Beaver Works summer program. Image courtesy of MIT.

The post Teens Build, Race Miniature Self-Driving Cars at MIT Summer Program appeared first on The Official NVIDIA Blog.

Highlighting the growing ties between NVIDIA and researchers at elite universities, NVIDIA founder and CEO Jensen Huang spoke to a gathering of AI researchers at the University of California, Berkeley, Wednesday.

The talk kicked off BAIR NVIDIA AI Day at UC Berkeley’s Memorial Stadium, which brought together researchers from the university and the company for talks and demos.

“You here at UC Berkeley are at the intersection of artificial intelligence, computer science and autonomous machines,” Jensen, clad in his trademark black leather jacket, told more than 400 students, faculty and researchers. “Really, it can’t get any better than that.”

The event is the latest example of the close ties between NVIDIA and elite researchers who are using deep learning to advance robotics, autonomous vehicles and computer vision. (See “Deep Learning Pioneers Boost AI Research at NVIDIA AI Labs Around the World.”)

From 3D Graphics to AI

In his talk, Jensen explained how NVIDIA found its way to the center of the AI revolution that has upended computing.

NVIDIA, Jensen explained, began as a bet that on demand for 3D graphics and gaming. To whet the appetite for more sophisticated 3D experiences, NVIDIA invented the programmable shader. And to unlock the computing power of the shaders built into every GPU, NVIDIA invented CUDA.

NVIDIA founder and CEO Jensen Huang spoke to a gathering of AI researchers at the University of California, Berkeley, Wednesday.

CUDA, in turn, gave researchers the tool they needed to unleash the parallel computing power of GPUs, turning the vast quantities of data generated by the internet, and a new generation of neural network models, into the deep learning technology that powers services now relied on by hundreds of millions of people every day.

And — thanks to a new generation of researchers armed with AI computing platforms from NVIDIA — more is coming.

Work that used to take a decade to commercialize now finds it way to market in six months, explained Trevor Darrell, a professor in UC Berkeley’s Department of Electrical Engineering and Computer Science.

“The time between research innovation and the impact on the marketplace has been reduced by an order of magnitude,” Darrell said. “We’re seeing industry partners more excited to support fundamental research.”

Self-Driving Cars, Robots that Learn, and More

The talks from UC Berkeley and NVIDIA researchers highlighted the close ties between researchers in academia and at NVIDIA.

One of day’s highlights: UC Berkeley Assistant Professor Sergey Levine, who explained how he and his team of researchers are developing new deep learning techniques that are giving robots the ability to observe an action, imagine how they can duplicate that action, and then judge how their own actions compare to the mental model they’ve created.

Complementing Levine’s talk, Bryan Catanzaro, NVIDIA’s vice president of applied deep learning research, spoke about how his team is putting deep learning techniques pioneered in academia to work in areas at NVIDIA as diverse as semiconductor design and virtual world design.

“NVIDIA uses AI in every aspect of its work,” said Catanzaro, who earned his Ph.D. at UC Berkeley. “AI is proliferating in new and unexpected places.”

Other speakers included Darrell, who spoke on using deep learning to help machines reason and explore; UC Berkeley Professor Pieter Abbeel, who talked about deep reinforcement learning and meta learning; and NVIDIA’s Larry Jackel, a veteran of Bell Labs who explained how NVIDIA’s work on self-driving vehicles builds on decades of neural network research.

I Am AI, Literally

After the talks, students and researchers gathered to network over wine and appetizers, gawk at demos of how deep learning is being put to work, and talk about what they’d heard.

Computer science student Humza Iqbal says he thinks deep learning will continue to surprise the wider world, particularly in computer security.

Guy Isely, a Ph.D. student in neuroscience, said he thinks people will be surprised by how common robots could become in five to 10 years.

Others, such as Esmond Ai, a student at Berkeley’s Haas school of business — just across the street from the event’s venue — see deep learning opening up vast new opportunities for entrepreneurs.

Ai said he was inspired by an entrepreneurial tale Jensen shared with students — and the “I am AI” t-shirts worn by NVIDIANs at the event.

“‘I am AI’ makes a lot of sense to me,” Ai said with a grin. “I guess you could say I saw those shirts and was drawn in.”

The post NVIDIA CEO Jensen Huang Kicks Off Berkeley AI Event appeared first on The Official NVIDIA Blog.