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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

How do you find the perfect balance of art, story, and software? Ask Danny Lange, Unity Technologies’ VP of AI and Machine Learning.

While other industries were quick to adopt AI, the gaming world has been slow to integrate machine learning systems. At Unity, Lange is leading efforts to change that.

According to Lange, the gaming industry is hesitant to use deep learning in the game-making process because of the role of art involved in creating games.

“You really want to control your storyline, you really want to make sure your audience, your players, are having a top-rated experience, and you don’t really want to leave that up to the computer to decide,” Lange said in a conversation with Michael Copeland, host of the AI Podcast.

But Lange believes AI can help game makers by adding more automation in games.

“I think a lot of information systems have really improved over the years by getting AI and machine learning in their implementation,” said Lange. “And I personally believe that we can bring that to game development as well and basically improve the productivity of the game developers by taking away some of the more trivial tasks.”

Such trivial tasks include the creation of non-player characters (NPCs). With AI, NPCs can learn behaviors overnight, freeing up more time for developers to focus on other aspects of the game.

While the implementation of AI will alter the way we develop and play our games, one thing that can’t change is the creativity that goes into the game narrative.

“The game creator is in control of the game and it needs be entertaining, and it needs to be amusing, and create enjoyment for the player,” said Lange. “So, the NPCs should not take over here, they should be a tool to create that storyline that is exciting.”

AI Podcast: The Robo-Wolf on Wall Street

And if you missed last week’s episode, Guarav Chakravorty, founder of online advisory firm qplum, shared how his company is using an AI robo-advisor to help us make better investments.

How to Tune in to the AI Podcast

The AI Podcast is available through iTunes, DoggCatcher, Google Play Music, Overcast, PlayerFM, Podbay, Pocket Casts, PodCruncher, PodKicker, Stitcher and Soundcloud. If your favorite isn’t listed here, email us at aipodcast@nvidia.com.

 

The post AI Podcast: How Unity’s Danny Lange Hopes to Bring AI to Gaming appeared first on The Official NVIDIA Blog.

Mark Chung’s unexpectedly high $500 monthly electric bill zapped his curiosity.

So when his Silicon Valley utility couldn’t explain it — despite “smart meters” installed throughout its system — he took matters into his own hands.

The Stanford-trained electrical engineer hacked some inexpensive meters from his local hardware store to be wi-fi enabled, and then built an electrical map of his home.

They showed that a small failure in his pool pump was causing a massive current overload, which couldn’t have been detected with traditional tools. More importantly, he learned how hard it is to get information from buildings, which typically lack any kind of computerized management.

Verdigris Smart Sensor

Thus was born the idea for Verdigris, a startup that wants to help conserve energy in buildings using GPU-powered artificial intelligence.

And it’s a large problem.

Buildings gobble up about 70 percent of the world’s electricity — and waste 60 percent of it. That’s $100 billion wasted on electricity each year — and a chance to cut an estimated 15 percent of the world’s greenhouse gas emissions.

To address the issue, Verdigris clamps proprietary wireless sensors onto electrical mains, panels and circuits. While most buildings get occasional walk-through energy usage audits, Verdigris’ digital system uploads electricity consumption data to the cloud 24/7.

From there, it can sell the raw data to building managers or apply its own AI algorithms and provide insights it gleans. It can even integrate the data with building management systems to automate electricity usage controls.

By forecasting problems and identifying areas for optimization and automation, Chung, who serves as Verdigris’s CEO, says the firm can help facilities get more done. Hotel managers, for example, could detect and fix building issues before guests even notice them.

All this wouldn’t be possible without the plummeting costs of bandwidth, sensors, data collection, processing and storage that have fueled AI’s growth.

The Verdigris tracker is a mobile web app for real-time event tracking and notification and anomaly detection.

“AI is extending into every facet of our lives: how we travel, how we produce food, how we work, how we live,” Chung said. “Smart buildings are one of the most valuable and largest opportunities for this trend.”

It didn’t take long for Chung to realize this insight could help other homeowners as well as large buildings. (In fact, NVIDIA is exploring how it can use Verdigris’ technology to reduce electrical consumption on its Silicon Valley campus.)

Verdigris’ trains its models on Pascal architecture-based NVIDIA GPUs. Chung estimates this helps Verdigris  train models 20 times as fast as on CPUs. He expects the role of GPU acceleration will grow as the company moves into circuit classification and other problems that will benefit from convolutional neural networks.

From Smart Buildings to Smart Cities

In the meantime, the company is applying its technology to reduce carbon footprints by increasing energy efficiency. Eventually, Chung said he’d like Verdigris to expand beyond smart building optimization and into enabling smart cities.

“If there is a large disaster, you could responsively adjust the city to shut down everything except central services and redirect energy to best support people,” Chung said.

The work won’t be done, Chung said, “until we have an automated planet.”

The post How a $500 Electric Bill Jolted an AI Startup Into Focusing on Energy Conservation appeared first on The Official NVIDIA Blog.