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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

There is no typecast for savvy AI businesses. They come in all sizes and represent an ever broadening swath of industry. Simply put, the era of artificial intelligence is remaking business as we know it.

Businesses see AI as a long-term strategic priority. In a recent survey from Infosys, three-quarters of the respondents from large, multinational corporations cited AI as fundamental to the success of their organization’s strategy. Sixty-four percent believe that their organization’s growth is dependent on large-scale AI adoption.

The main challenge is in figuring out how best to put AI to work. There is no universal answer. That was clear from the hundreds of companies that participated at our GPU Technology Conference last month. And it’s evident again at the O’Reilly AI conference this week in New York. Much like GTC, the conference draws thousands of participants in every industry, from startups to massive enterprises.

During a keynote address at O’Reilly this morning, I highlighted how companies of varying sizes from three different industries — automotive, healthcare and cybersecurity — are using AI in transformative ways.

Volkswagen Doubles Down on Deep Learning

Our new collaboration with Volkswagen, announced just yesterday, underscores how our AI work with major automakers extends from autonomous driving to the enterprise itself.

Drawing from our latest deep learning platform, Volkswagen is building NVIDIA GPU-based advanced AI systems for the Volkswagen Data Lab. There, VW researchers will oversee a variety of deep learning projects, including developing new procedures to help optimize traffic flow in cities and exploring new mobility services.

Additionally, the Data Lab is the cornerstone for a new AI startup program that will provide technical and financial support for international startups developing machine learning and deep learning applications for the automotive industry.

Deep Learning for Faster Diagnoses

The healthcare industry was one of the earliest adopters of AI and deep learning. It benefits from the research contributions of large, established medical organizations joined now by several lean and smart startups — all driving incredible innovation.

Athelas, a six-person healthcare startup based in Silicon Valley, has developed a portable blood diagnostic device that can measure white blood cell counts within minutes in the comfort of one’s home, enabling faster, life-saving diagnoses. Connected to an NVIDIA GPU-based neural network through a mobile phone interface, the machine can provide near-instant white blood cell count results from one drop of blood.

Fighting Malware with Deep Learning

With an estimated million-plus new malware threats created daily, cybersecurity firm Deep Instinct turned to deep learning methods to stop attacks before they happen.

As part of its approach, the company built its own NVIDIA GPU-based neural network from scratch. This was followed by an intensive training session in which they fed hundreds of millions of files, both malicious and benign, into the network.

Using the incredible computing power of NVIDIA GPUs, Deep Instinct was able to train the network to spot potential file threats in just under a day, a process that would have taken over three months on a conventional CPU-based system.

More Industry-Based Profiles

Auto, health and cybersecurity are just three of many industries innovating with AI and deep learning technologies. Banking, retail, finance, manufacturing and more are also on the frontline, using our GPU computing platform to transform their businesses and associated industries.

Learn more at http://www.nvidia.com/object/ai-across-industries.html.

The post The AI Revolution Is Remaking Every Business in Every Industry appeared first on The Official NVIDIA Blog.

NVIDIA topped the latest edition of MIT Technology Review’s list of 50 Smartest Companies. The magazine’s 2017 list, released Tuesday, ranks companies that combine innovative technology with an effective business model.

“The companies on the list combine a high level of technology innovation with a business model that will help them make the most of it,” said Nanette Byrnes, business senior editor of MIT Technology Review. “These are the ones that competitors must follow.”

Rounding out the top five on the list are SpaceX, Amazon, 23andMe, and Alphabet. Many of the companies on the list use deep learning and artificial intelligence, “a technology that MIT Technology Review believes will drive much of the economic growth over the next few years.”

NVIDIA, MIT Tech Review’s staff wrote, “has established itself as the leading provider of processing power for AI software, and its newer, AI-related businesses are growing quickly.”

This is the third straight year MIT Tech Review featured NVIDIA on its list, having climbed from No. 28 in the 2015 list, and No 12 on last year’s list. Tesla Motors topped 2015’s list, and Amazon topped last year’s list.

 

The post NVIDIA Tops MIT Tech Review’s List of World’s Smartest Companies appeared first on The Official NVIDIA Blog.