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 ...

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, ...

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 ...

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 ...

AI4ALL Editor’s note: Meet Jocelin Su, a 2016 Stanford AI4ALL (formerly SAILORS) alumna. Below, Jocelin shares her learnings from NVIDIA’s GPU Technology Conference (GTC). Eight AI4ALL alumni attended the conference in March 2018, eager to ...

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 ...

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, ...

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 ...

Our NVIDIA Graduate Fellowship Program this week awarded up to $50,000 each to 11 Ph.D. students involved in GPU computing research. The fellowship program supports graduate students doing GPU-based work. We selected our fellows from more than 120 ...

Robots following coded instructions to complete a task? Old school. Robots learning to do things by watching how humans do it? That’s the future. Stanford’s Animesh Garg and Marynel Vázquez shared their research in a talk on “Generalizable Autonomy ...