Skip to main content

3D News

NVIDIA is pleased to announce the first Photo Champion for 3D Vision Live, Nick Saglimbeni. Regular visitors to the site should be well familiar with Nick's images. His Warehouse Wonderland image won the site's first monthly Photo Contest, and he was also the first repeat winner of the Contest two months later with Kim Kardashian's Wild West - one of the site's first 3D celebrity images. Nick is receiving the 2012 3D Vision Live Photo Champion Award as our formal...
Sorry folks for the delay in announcing the winner for May's Photo Contest - we had an issue with the search function and needed to make sure all entries were considered. Without further ado, on to the results! Alex Savin has been submitting some excellent images from his European adventures for some time now, and his "Fontana di Trevi" is a wonderful example of stereo photography that just plain works. The composition is top notch and the image is sharp throughout, which...
James Cameron continues to pioneer 3D technology. With the first Avatar he showed what 3D could add to the film experience. After criticizing the fast conversions from 2D to 3D that many Hollywood studios have released since Avatar, Cameron oversaw a team that turned Titanic into a 3D blockbuster. That film has been a commercial and critical success, showing what a year of meticulous conversion and $18 million can add to a 15-year-old movie. The director talks about Avatar,...
Marvel Entertainment was one of the first major Hollywood companies to commit to 3D movies. Beginning last summer, every movie based on a Marvel comic property was to be either filmed in 3D or converted to 3D for theatrical and home entertainment releases. When this mandate came down, Ari Arad (Iron Man), producer of Ghost Rider: Spirit of Vengeance, turned to NVIDIA to help with the production of the Sony Pictures sequel, which is now out on Blu-ray 3D, Blu-ray and DVD....
People are flocking to the theater to take in Pixar’s latest animated film, Brave, which we recommend seeing in 3D, of course. After seeing the movie you can relive the adventure by picking up the gorgeous Brave: The Video Game for PC. The third-person action/adventure game lets you play the role of Princess Merida—Pixar’s first female lead character—as you follow her adventures in a family-friendly storyline based on the film. Engage in bow-and-arrow and sword combat and...

Recent Blog Entries

NVIDIA CEO Jen-Hsun Huang told the WSJD Live conference today that he envisions cars using artificial intelligence to customize the driving experience, so vehicles automatically adjust themselves to each individual’s preferences.

Speaking at The Wall Street Journal’s flagship event, which features dozens of tech luminaries, including Facebook’s Sheryl Sandberg, Microsoft’s Satya Nadella and Netflix’s Reed Hastings, Huang said that AI will become a co-pilot that can also effectively see around corners and warn drivers of risks ahead. As well as making cars dramatically safer by eliminating scope for human error, AI capabilities will enable cars to anticipate the needs of their drivers.

“I can’t wait to turn the car into an AI and talk to it,” he said, as in a session entitled Inside the Brain of the Artificially Intelligent Car. “It would be nice if it knew who I am and adjusted, if it knew what my day looks like so when I need to get on a conference call, it would make the call for me.”

At this week’s WSJD Live conference, NVIDIA CEO Jen-Hsun Huang said he sees cars using artificial intelligence to adjust to each driver’s preferences.

Huang said that AI technology, powered by GPUs, will enable the networks that guide self-driving cars to become increasingly smarter over time as they are exposed to more driving data, covering the full range of permutations of events possible in driving.

“The thing about software is that its quality improves over time, while people’s ability to drive diminishes,” Huang said. “The answer is to develop really great software.”

He predicted that the pace of improvement, from both a hardware and software perspective, will move exceptionally fast. “It’s going to move way faster than Moore’s Law,” he said, referring to the pace of innovation foreseen by Intel pioneer Gordon Moore.

The post NVIDIA CEO Envisions AI Enabling Cars to Customize Driving Experience appeared first on The Official NVIDIA Blog.

If there were a World Series of big data baseball analytics, Claudio Silva would be in the starting lineup.

Silva, a professor of computer science, engineering and data science at New York University, co-developed the game-changing metrics engine in pro baseball’s Statcast tracking and statistics system. By tracking every movement of every player and the ball throughout the game, it’s changed how coaches evaluate and train players and how fans watch the game.

But Silva is swinging for the fences. He’s now using GPU-accelerated deep learning to reveal minute details of player behavior and game patterns, which has the potential to revolutionize how coaches manage players and plan strategy. It could even give them the ability to make predictions about some aspects of the game.

“For a given pitcher and batter, we can figure out the most probable locations the ball will go in the field,” Silva said. That would allow players to position themselves in the best place to field the ball.

Deep Learning Steps up to the Plate

Coaches could use the deep learning tool to detect when players are reacting more slowly or playing less effectively, and use that information to avoid player injuries, said Silva.

The same type of analysis could help coaches determine the best matchups, decide which throws by a pitcher are most likely to result in a hit, or compare two players with similar styles but very different pay packages, he added.

“The more coaches know about player behavior, the better they’re able to make informed decisions about when and how to play them and in what capacity to use them,” he said.

Statcast: Big Data Baseball Analytics

Ever since 2002, when Major League Baseball’s Oakland A’s adopted Sabermetrics — the focus of the book and movie “Moneyball” — advanced statistical analysis has played a large role in managing and selecting players. Statcast added big data and machine learning, making it possible to track things that weren’t measurable before, especially the performance of outfielders.

Silva was able to make the leap into deep learning because he’s armed with GPUs and Statcast data from nearly 1.5 million plays collected over two seasons.

The Statcast database, created and maintained by MLB Advanced Media, contains what is likely the world’s most detailed sports database. Each play has detailed textual descriptions, video clips, outcomes and positioning of player movement.

Deep Learning Heads for the Big Leagues

Silva and co-developer Carlos Dietrich, a consultant to MLB Advanced Media, want to go beyond current measurements, which average samples taken from a player’s’ movements into a single measurement.

Their goal is to capture and analyze detailed player movement. The most common way to do this would be install more cameras, and more complex computer vision technology, but it’s a costly option.

Instead, the NYU research team aims to use deep learning technology by coupling the Statcast data with detailed human movements acquired with motion-capture systems. Training deep learning networks with such complex, visually rich information is not feasible on CPUs, said Silva.

The team is using our DGX-1 AI supercomputer — recently acquired by NYU’s Center for Data Science — which provides the deep learning computing performance equivalent to 250 conventional servers.

Silva hopes to have the DGX-1-powered deep learning tool ready in time for next season.

“This is a game that’s been played a long time,” he said. “What surprises me is that we’re still able to make it better by using technology.”

The post World Series Special: Hitting it Out of the Park with Deep Learning appeared first on The Official NVIDIA Blog.