NVIDIA's main blog that compiles all its posts.

Crowning Achievement: Using Adversarial Networks to Create Customized Dental Caps

It wasn’t long ago that dental crowns were produced on assembly lines, with rows of workers engaged in the physical effort of building and shaping them.

To make that process faster, more precise and, ultimately, less expensive, dental product maker Glidewell Laboratories has been building a deep learning environment for designing and manufacturing crowns, also known as caps.

Night of the Living Bacteria: How GPUs Aid Fight Against Zombie-Like Bugs

When health officials use words like “nightmare” and “apocalypse” to describe a problem, it’s probably time to pay attention.

We’re in a war with antibiotic-resistant bacteria, and we’re losing. Antibiotics that saved millions of lives in the last century are increasingly powerless against a growing number of superbugs that have evolved to survive our pharmacological onslaught.

AI-Enabled Auditors: Finding Fraud Using Deep Autoencoder Networks

Accounting fraud has long eaten into the revenue of some businesses, but auditors are enlisting a new defensive tool: artificial intelligence.

A typical organization can lose 5 percent of its annual revenue to fraud, according to an estimate from the Association of Certified Fraud Examiners. Businesses are putting AI on the task of anomaly detection in an effort to staunch losses.

It’s Training Cats and Dogs: NVIDIA Research Uses AI to Turn Cats into Dogs, Lions and Tigers, Too

It turns out a leopard can change its spots.

Thanks to NVIDIA researchers’ new GPU-accelerated deep learning technique, a leopard — or at least a picture of it — can simultaneously turn into a house cat, a tiger or even a dog. It works for video, too.

SETI: AI Helping Humanity Overcome Its Limitations

Few organizations are as bullish on AI as the SETI Institute.

Best known for its ongoing search for extraterrestrial intelligence, the institute is engaged in broad range of complicated science. And for all of humanity’s natural intelligence, it’s the artificial sort that’s most likely to help us succeed long term.

Gift of Garb: How AI Helps Fashion Followers Choose the Best Dress

Wardrobes could sharpen up for online shoppers everywhere, while retailers cut costs, thanks to AI that puts clothes on fashion models in a virtual photo shoot.

A fully staffed, photo fashion shoot can run up to $500 per outfit. Given the thousands of potential looks, many online retailers display their garments without models. Silicon Valley-based Vue.ai thinks it has a fix where clothes could still be showcased by a stylish model, but without the high overhead.

Insights from a High Schooler at NVIDIA’s GTC

Editor’s note: Meet Jocelin Su, a 2016 Stanford AI4ALL (formerly SAILORS) alumna. Below, Jocelin shares her learnings from NVIDIA’s GPU Technology Conference.

NVIDIA, Canon Medical Systems Partner to Accelerate Deep Learning in Healthcare

Healthcare represents one of the biggest opportunities in deep learning, and we’re partnering with Canon Medical Systems, Japan’s largest medical systems supplier, to develop the research infrastructure to help support it.

The healthcare sector needs to analyze scientific reports from around the world, while simultaneously coordinating a variety of patient data to determine the most appropriate treatment options.

More Power, Less Tower: AI May Make Aircraft Control Towers Obsolete

Airport control towers are an emblem of the aviation industry. A Canadian company wants to use its technology to make them a relic of the past.

Airport buffs may mourn the change. But Ontario-based Searidge Technologies believes its reasoning is, um, well-grounded.

It believes AI-powered video systems can better watch runways, taxiways and gate areas. By “seeing” airport operations through as many as 200 cameras, there’s no need for the sightline towers give air traffic controllers.

From AI to Zzzz: MIT, Mass General Aim Deep Learning at Study of Sleep Stages

Sleeplessness is a national epidemic. It’s hard to solve and complicated by how difficult it is to study.

One in three U.S. adults generally don’t sleep enough, according to the Center for Disease Control and Prevention, which defines healthy sleep as more than seven hours daily.

Chest straps, nasal probes and head electrodes are among the traditional sensors routinely attached to patients needing their sleep patterns monitored. These uncomfortable methods can themselves cause sleeplessness, rendering data collected unrepresentative.

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