Intel Delivers Virtual Reality Experiences to Fans in 3-Year Partnership with Major League Baseball

NEWS HIGHLIGHTS

  • Intel announced a three-year partnership with MLB to deliver live and on-demand virtual reality experiences to baseball fans starting with the 2017 MLB regular season.
  • “Intel True VR Game of the Week” enables fans to personalize their VR experience with multiple camera angles, post-game highlights, on-demand content and statistics.
  • Intel’s virtual reality MLB content will be available for free via the Intel True VR app this year.

SANTA CLARA, Calif., June 1, 2017 – Intel Corporation announced a three-year partnership with Major League Baseball (MLB) to bring virtual reality experiences to baseball fans with Intel® True VR. Starting June 6, Intel will livestream one weekly, out-of-market game every Tuesday via the Intel True VR app, in addition to featuring post-game highlights and on-demand replays of each game.

The live “Intel True VR Game of the Week” experience uses an array of 4K-resolution cameras to bring fans closer to the action with the ability for users to control their vantage point by selecting from up to four camera angles per game or a produced VR broadcast experience. Fans will also have access to up-to-the-moment player and team statistics throughout the game, including pitcher and batter data, and will hear exclusive in-app commentary.

Fact Sheet: Intel Survey Reveals Major League Baseball Fans Want More VR
Press Kit: The Digitization of Sports

“As a VR partner of MLB, Intel is delivering a truly immersive virtual reality livestream where fans can experience the excitement of being at the ballpark every week,” said James Carwana, general manager, Intel Sports Group. “The addition of live stats to the Intel True VR weekly games is another example of how we’re giving fans more control to personalize their baseball experience.”

“We are excited to bring the Intel True VR experience to fans around the country every week,” said Kenny Gersh, EVP, Business, MLBAM. “Our partnership with Intel will keep MLB at the forefront of technological innovation for our fans, bringing them closer to the action.”

The “Intel True VR Game of the Week” experience will be available free of charge through the Intel True VR app using a Samsung* Gear VR headset. Download the Intel True VR app on the Oculus store. Fans will able to access the Intel True VR experience for the following games in June 2017:

  • Cleveland Indians vs. Colorado Rockies on June 6 at 8:40 p.m. ET / 5:40 p.m. PT
  • Kansas City Royals vs. San Francisco Giants on June 13 at 10:15 p.m. ET / 7:15 p.m. PT
  • Detroit Tigers vs. Seattle Mariners on June 20 at 10:10 p.m. ET / 7:10 p.m. PT
  • St. Louis Cardinals vs. Arizona Diamondbacks on June 27 at 9:40 p.m. ET / 6:40 p.m. PT

For details and updated scheduling for the “Intel True VR Game of the Week,” visit “Introducing Intel True VR” on Intel.com. To learn more about Intel in sports, visit The Digitization of Sports press kit.

MLB-Intel-True-VR-1

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Major League Baseball trademarks and copyrights are used with permission of MLB Advanced Media, L.P. All rights reserved.

The post Intel Delivers Virtual Reality Experiences to Fans in 3-Year Partnership with Major League Baseball appeared first on Intel Newsroom.

Intel Delivers Virtual Reality Experiences to Fans in 3-Year Partnership with Major League Baseball

NEWS HIGHLIGHTS

  • Intel announced a three-year partnership with MLB to deliver live and on-demand virtual reality experiences to baseball fans starting with the 2017 MLB regular season.
  • “Intel True VR Game of the Week” enables fans to personalize their VR experience with multiple camera angles, post-game highlights, on-demand content and statistics.
  • Intel’s virtual reality MLB content will be available for free via the Intel True VR app this year.

SANTA CLARA, Calif., June 1, 2017 – Intel Corporation announced a three-year partnership with Major League Baseball (MLB) to bring virtual reality experiences to baseball fans with Intel® True VR. Starting June 6, Intel will livestream one weekly, out-of-market game every Tuesday via the Intel True VR app, in addition to featuring post-game highlights and on-demand replays of each game.

The live “Intel True VR Game of the Week” experience uses an array of 4K-resolution cameras to bring fans closer to the action with the ability for users to control their vantage point by selecting from up to four camera angles per game or a produced VR broadcast experience. Fans will also have access to up-to-the-moment player and team statistics throughout the game, including pitcher and batter data, and will hear exclusive in-app commentary.

“As a VR partner of MLB, Intel is delivering a truly immersive virtual reality livestream where fans can experience the excitement of being at the ballpark every week,” said James Carwana, general manager, Intel Sports Group. “The addition of live stats to the Intel True VR weekly games is another example of how we’re giving fans more control to personalize their baseball experience.”

“We are excited to bring the Intel True VR experience to fans around the country every week,” said Kenny Gersh, EVP, Business, MLBAM. “Our partnership with Intel will keep MLB at the forefront of technological innovation for our fans, bringing them closer to the action.”

Fact Sheet: Intel Survey Reveals Major League Baseball Fans Want More VR

The “Intel True VR Game of the Week” experience will be available free of charge through the Intel True VR app using a Samsung* Gear VR headset. Download the Intel True VR app on the Oculus store. Fans will able to access the Intel True VR experience for the following games in June 2017:

  • Cleveland Indians vs. Colorado Rockies on June 6 at 8:40 p.m. ET / 5:40 p.m. PT
  • Kansas City Royals vs. San Francisco Giants on June 13 at 10:15 p.m. ET / 7:15 p.m. PT
  • Detroit Tigers vs. Seattle Mariners on June 20 at 10:10 p.m. ET / 7:10 p.m. PT
  • St. Louis Cardinals vs. Arizona Diamondbacks on June 27 at 9:40 p.m. ET / 6:40 p.m. PT

For details and updated scheduling for the “Intel True VR Game of the Week,” visit “Introducing Intel True VR” on Intel.com. To learn more about Intel in sports, visit The Digitization of Sports press kit.

MLB-Intel-True-VR-1

» Download all images (ZIP, 3 MB)

Major League Baseball trademarks and copyrights are used with permission of MLB Advanced Media, L.P. All rights reserved.

The post Intel Delivers Virtual Reality Experiences to Fans in 3-Year Partnership with Major League Baseball appeared first on Intel Newsroom.

How Deep Learning Promotes Early Detection of Cancer

Seeing may be believing. But when treating cancer, our eyes sometimes misinform us.

When interpreting CT and MRI scans, it can be difficult to distinguish the borders between organs and tumors, to determine how tumors have changed since the previous exam, and to spot new tumors when the focus is on another area.

Researchers at Germany’s Fraunhofer Institute for Medical Image Computing are applying GPUs and deep learning to ramp up the accuracy of cancer diagnoses. With AI-powered image analysis, doctors can better avoid false positives that lead to unnecessary treatment, and increase the likelihood of spotting new tumors that may appear.

“We believe that early detection is key,” said Markus Harz, a research scientist at Fraunhofer MEVIS. “When an abnormality is detected in images, proper diagnostic workup is the next challenge.”

Until a few years ago, Harz and his research colleagues relied on the classical “feature engineering” approach still prevalent today. Researchers would program the computer themselves to detect image traits that help to classify image data using algorithms like linear regression or random forests.

However, the team’s first experiments with deep learning revealed that it could solve very challenging problems, including detecting the location and identifying the contours of organs and abnormalities.

Harz remembers the moment the effort took shape: He was sitting with a radiologist who’d been reviewing the case of a patient at high risk for breast cancer. She’d been comparing two MRIs, side by side, trying to spot any changes between dozens of lumps depicted in each. She finally spotted one lump that had grown in size, and turned out to be malignant.

The radiologist admitted this was a lucky hit, and that most cases don’t benefit from such good fortune. She teamed with Harz and his colleagues, and they started working on an algorithm that would spatially align the MRIs.

“With this, you can subtract them and directly see the difference,” he said.

As the team has refined its models for image analysis, it’s seen how deep learning improves diagnostic results. But there’s another challenge to providing solutions in clinical settings: regulatory clearance. To get it, Harz said he and his colleagues have been building an infrastructure to validate their deep learning algorithms.

“Both clinicians and medical device manufacturers want to see proof of the superiority of cognitive medical computing,” said Harz.

GPUs Deliver the Goods

GPUs figure prominently in the researchers’ work. They train their deep learning models on NVIDIA GPUs running on multiple machines, supported by CUDA and cuDNN, as well as the Theano and TensorFlow libraries. Harz estimates that the local GPUs are delivering at least a 20x improvement in performance over CPUs.

Visualization experts at Fraunhofer MEVIS also are using GPUs to power their work using shader programs to achieve photorealistic renderings of medical images in real time. And Fraunhofer MEVIS’ medical image registration group has been able to speed up its algorithms using general performance GPUs in conjunction with the OpenCL parallel programming standard.

The technology promises to provide a more accurate characterization of how a tumor changes over time than is possible with the human eye, thus enabling medical staff to diagnose more confidently.

“(Diagnosticians) would manually measure a two-dimensional diameter, whereas the computer can generate a volumetric representation that much better represents the growth or shrinkage of a tumor,” said Harz. This not only helps automate the most tedious clinical work, but also lets diagnosticians characterize abnormalities far beyond just their size.

Next Steps

Harz and his research colleagues are focused on refining their validation framework, connecting their deep learning network to hospital infrastructures, and building a seamless integration with typical clinical storage systems. And they’re trying to accomplish all of this without interfering with the systems’ current ability to serve images to clinicians.

Down the line, the team plans to curate unstructured data, establish large-scale data crawling and work on commercializing the technology. Harz hopes the technology can become a critical part of the cancer diagnosis chain whenever data is too complex to be analyzed by humans.

The post How Deep Learning Promotes Early Detection of Cancer appeared first on The Official NVIDIA Blog.