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3D News

For the last few years we’ve worked with the National Stereoscopic Association to support the 3D Digital Showcase photo competition featured at the NSA’s annual conventions. The images from this past year’s showcase are now live for everyone to view. We really enjoy the diversity of images submitted by 3D artists and enthusiasts to this event, and this gallery is certainly no different. You’ll see everything from close ups of insects to people juggling fire. Simply put,...
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...

Recent Blog Entries

Some 1.3 million men in North America each year undergo biopsies to determine whether they have prostate cancer. While these are ordered only after multiple tests indicate the possible presence of cancer, many are ultimately proven to have been unnecessary.

Researchers at the University of Alberta hope to change that with a new testing method that relies on GPU computing — and which could prevent up to half of those biopsies from happening.

The de facto screening method, known as a Prostate-Specific Antigen (PSA) test, is “not very reliable, and lots of men undergo biopsies for little benefit, and they risk infection and other side effects in the process,” said John Lewis, the Frank and Carla Sojonky Chair of Prostate Cancer Research funded by the Alberta Cancer Foundation.

Focusing on Vesicles

Lewis’s team has taken a different approach it’s calling the Extracellular Vesicle Fingerprint Predictive Score. The EV-FPS involves analyzing biomarker data from extracellular vesicles, fluid-filled sacs that enable communication between cells. By scrutinizing vesicles, researchers can predict the presence of cancer cells with more precision than with PSA tests.

The challenge is that the new test analyzes up to 5 million vesicles using four biomarkers each, resulting in a total of 20 million data points per patient. But lurking in these vesicles are those that began in the prostate gland, each serving as a sort of map of the cells from which they originated.

That’s where NVIDIA GPUs and deep learning tools come into play.

“With that much information, there was simply no way to identify the key patterns in the data by eye, which led us to GPUs,” said Lewis.

To boost its analysis capabilities, the team paired an NVIDIA GeForce GTX GPU with Mathworks’ MATLAB numerical computing software, as well as CUDA version 7.5 and cuDNN version 5 for deep learning. In doing so, the researchers were able to train a convolutional neural network to perform image-based analysis of all of that data.

Lewis’s team used an approach known as fivefold cross validation, in which patient data was divided into five groups, with one held out of each round of training. This improves the accuracy of the model by ensuring that every patient’s data is used once in the hold-out group during evaluation.

Improved Accuracy = Fewer Biopsies

The results speak for themselves: Lewis said that in validating the EV-FPS in 410 patients, his team has boosted the accuracy of cancer detection by 40 percent compared with PSA tests. That could translate to as many as half of those 1.3 million men avoiding a biopsy.

That kind of impact led the team to commercialize the new test, and the team has spun off a company, called Nanostics, to do just that. The EV-FPS has been packaged as a product called Clarity DX. Lewis, who serves as CEO of Nanostics, said it will hit the market in mid-2018 as a screening test. The company plans to seek FDA approval of the product so that it can make specific claims about its performance.

And this may be just the start. Lewis foresees this new ability to analyze extracellular vesicle biomarkers as having a potential impact on screenings of other cancers or neurodegenerative diseases.

Feature image: University of Alberta prostate cancer researcher Dr. John Lewis, left, works with graduate student Srijan Raha. Credit: University of Alberta

The post How GPU-Powered Cellular Analysis Could Help Avoid Unnecessary Prostate Cancer Biopsies appeared first on The Official NVIDIA Blog.

Opening up our effort to put deep learning to work creating safer, smarter cities, our Metropolis Software Partner Program, announced today, brings together a dozen software partners.

The program offers a curated list of applications that makes it easy for systems integrators and hardware vendors to build new products.

Together, we’re taking advantage of the more than 1 billion video cameras that will be in our cities by the year 2020 to solve a dizzying array of problems.

Imagine video-based, automated, real-time control of traffic signals to ease traffic congestion. Or cameras mounted on traffic lights that can help you find parking spaces. Or even using cameras to better target preventative maintenance for roads and bridges.

Metropolis enables all of this and more.

This software partner program follows the debut in May of our Metropolis edge-to-cloud platform, with its rich set of hardware and SDKs. To make it into our Metropolis Software Partner Program, partners must have production-ready, field-proven solutions.

Here’s our inaugural list of partners and applications:

PartnerSolution BriefcamVideo synopsis solution for quick video review and search, real-time alerting and quantitative video insights. Deep VisionBrand logo recognition, face demographics and recognition, and context tags identification to perform analytics and extract meaningful insights for retail customers. Herta SecurityFacial recognition solutions for law enforcement in crowded public places. IcetanaSelf-learning intelligent analytics to detect anomalies in real time from surveillance videos and quickly alert operators. IronyunAI video sear­ch using a natural language interface. Omni AISelf-learning system for anomaly detection on video, SCADA, cyber, image and analytics data in real time. OpenALPRAutomatic license plate recognition software for smart cities, law enforcement and corporations. Sensen NetworksReal-time parking and speed enforcement solutions for cities. Applications for casinos such as table game and customer analytics. SensetimeFacial recognition solution for public safety, retail and access control. VisionLabsCross-platform facial recognition solution for controlled (biometric authentication and identity assurance) and uncontrolled (retail, smart cities and public safety) scenarios at scale. VocordReal-time biometric facial recognition software with very high accuracy. XjeraSolution for people and vehicle counting for enterprise and commercial applications offering high accuracy, high levels of customization and robust security.

Solutions like these are fueling a growing array of use cases. These include putting deep learning to work to help first responders react to emergencies more quickly. And delivering more personalized experiences to shoppers. All this can be done with anonymized video that maintains privacy, while still being able to extract useful metadata.

The result: safer, more efficient cities for all of us.

The post Painting the Town Smart: NVIDIA Launches Metropolis Software Partner Program appeared first on The Official NVIDIA Blog.