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Max Payne and Bullet Time are back and better than ever. The third chapter of Rockstar Games' critically acclaimed action series has launched worldwide on PC. Taking place in New York and in São Paulo, Brazil, Max Payne 3 follows Max Payne through a dark and gritty story fans of the franchise will love. For the first time in the series, Max Payne 3 features multiplayer that brings the same cinematic feel, fluid gunplay, and sense of movement of the single-player game into...
Our April Photo Contest was another doozy with more than 100 images entered. Subjects spanned a wide gamut from creative angles in in-game screenshots to macro shots of insects to family candids and super-wide panoramic shots. Thanks to all who submitted—and please, keep ‘em coming! And the Winner Is… Without further ado, another tip o’ the cap goes to Nick Saglimbeni, who won our very first contest in February of this year. This time, his shot of Kim Kardashian posed in a...
You upgrade your drivers regularly, right? We hope so, because we put a lot of effort into improving the peformance of our hardware with the hottest games and if you do not update your display drivers you may be missing out. Case in point: World of Tanks. Not only has this multiplayer online game received a major content update recently, updating the game to version 7.3, which included several new tanks in the Soviet line as well as new maps and various game fixes. The...
Everyone with kids knows that when school's out our kids suddenly have lots of free time—while most parents, unfortunately, do not—and we hear around the house "I'm bored." Well, you can't spend every day at the pool, so why not put your 3D Vision PC to use and let your kids enjoy some family-friendly 3D games, such as these! One word of warning though: you might have a hard time getting those glasses back….    Cars 2: The Video Game Inspired by the Disney...
Crack those knuckles, limber up, and get ready for chills—Capcom’s Street Fighter X Tekken and Resident Evil: Operation Raccoon City are available now for PC, and both are excellent 3D titles right out of the gate. Capcom’s been a very strong 3D partner for NVIDIA, releasing several big titles with excellent 3D support over the years—including previous games in the Resident Evil and Street Fighter series—resulting in the best-possible 3D Vision gaming experience. Tekken and...

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This April 22 put a little AI in your Earth Day.

Whether you’re cleaning up a beach, planting a tree or starting a garden, iNaturalist makes it easy to get in touch with nature.

iNaturalist is a crowd-sourced species identification app powered by AI. For the casual nature observer, the app allows people to snap photos of such easy targets as backyard plants and bugs and upload images for its AI to provide a match or for members of the community to identify.

The app is also a social network for nature enthusiasts to record information on species, meet others with similar interests and learn. It’s available on Android and iOS , where it’s already been downloaded nearly a million times.

It began as a website, iNaturalist.org, founded in 2008 by students at the University of California, Berkeley. Now it’s a joint program of the California Academy of Sciences and the National Geographic Society.

Previously it took 18 days on average for species to be identified by the website’s community. But that all changed after iNaturalist worked with researchers from Caltech and Cornell to build a computer vision AI into the app.

Now species can be identified in a matter of milliseconds, and much more accurately, with the use of AI, said Scott Loarie, co-director of iNaturalist.

“Our goal is to get millions of people outside exploring and connecting to nature and engage them to become lifelong stewards of the natural world,” Loarie said.

People mostly put up observations of plants to iNaturalist, but posts of birds, insects and other organisms can be found as well.

The app harnesses NVIDIA GPUs and the CUDA deep neural network library along with the TensorFlow deep learning framework, allowing training of the neural networks on a database of images that have been labeled by the site’s community of experts.

Today iNaturalist boasts 8.6 million observations uploaded and more than 155,000 species observed.

The post iNaturalist: An AI-Powered App to Crow About on Earth Day appeared first on The Official NVIDIA Blog.

Assessing risk is a concern in most industries, although perhaps never more so than following a merger or acquisition. It turns out AI may be just the tool to help.

GPU Technology Conference attendees last month got a high-level education in how AI can bring speed and precision to this process from Congruity360, a Massachusetts-based data management consultancy.

Mitigating Risk in M&A

Two people deciding to live together can see all of their belongings and make quick decisions about what to do with them. But a company that’s joined another is almost always saddled with data that’s not so easy to categorize.

While AI may not be well suited to analyzing text-based documents, Congruity360 has developed a method for parsing text data with GPU-powered machine learning.

“GPUs are not going to operate on text,” said Chris Ryan, vice president of sales engineering at Congruity360. “We need to come up with a mathematical representation of text documents.”

Doing so has allowed Congruity360 to classify unstructured documents based on whether they look the same or contain some of the same keywords. At its essence, the company’s work involves taking data it knows nothing about — “dark data,” as Ryan called it — and assigning high-level headers so it can separate the data into buckets related to topics such as invoices, taxes, intellectual property or even code.

The result is a visual representation that groups data in topical clusters, some of which stand on their own and some of which overlap. Companies can use this method to zero in on clusters of riskier documents, such as those that have regulatory implications.

Turning Data into Useful Information

Congruity360’s approach starts with the assumption that as much as 80 percent of all corporate data is unstructured, and seeks to answer the question, how can GPUs help machine learning turn raw text into information?

Most obviously, GPUs bring speed to the equation.

“If you’re a data scientist and you want to do this, you don’t want to wait weeks and weeks for models to run,” said Jonathan Bailey, vice president of analytics at Congruity360.

Speeding up the process translates to identifying — and mitigating — risks sooner. M&A activity involves working with legal teams, which are typically most concerned with ensuring that data is defensible. Congruity360 uses GPUs to perform comparisons of documents and compute their defensibility. It’s a process took four weeks using CPUs, and now unfolds in just 20 seconds on GPUs.

“We’re just trying to give users a tool to learn about data,” said Bailey. “We want to see if there’s any risky data in there.”

The post Risky Business: Tapping AI to Assess and Limit Risk in M&A appeared first on The Official NVIDIA Blog.