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 ...

While I was at the GPU Technology Conference all week attending sessions and writing blogs, my son was at an opening night screening of “Ready Player One,” the new Steven Spielberg virtual reality thriller. But I did him one better: I got to be in ...

Can’t get a taxi? We can relate. But that’s only half the reason ride-sharing services such as Lyft and Uber are such a success. It turns out if you’re a taxi driver you have an even bigger problem: it’s hard to predict where, and when to find ...

The universe’s oldest, most distant galaxies may hold clues about the future of our own. But even with the world’s largest telescope, scientists won’t be able to see those galaxies clearly without our GPUs. The European-Extremely Large Telescope, or ...

There are about 3 million medical imaging instruments installed around the world. With only a couple hundred thousand new ones sold each year, it would take decades to update this install base. NVIDIA’s Project Clara, a medical imaging ...