Putting the AI in Hawaii: Surfing the Big Waves of Artificial Intelligence

AI is bringing innovation to your industry, so we’re going where researchers are innovating AI.
by Kristin Bryson

Some come to Hawaii with snorkels. Others come with scuba gear. And then there are those who come to dive really deep.

In the days ahead, some of the greatest minds in artificial intelligence will be in Honolulu for the annual Computer Vision and Pattern Recognition (CVPR) conference.

Many attendees were arriving Friday afternoon, and with the blue waters of the Pacific and the abundant pools beckoning from the hotel lobby, one could overhear laments of not being able to partake of the abundant pleasures.

Tropical temptations aside, CVPR is serious business, and the growing importance of the show is evident in the 5,000 researchers, engineers and business leaders gathering here, nearly twice the number of just a year ago.

Despite the idyllic setting, they’ll spend the conference, which kicked off today, sharing research that pushes the frontiers of AI. As AI has moved from an academic specialty to the most powerful technology trend of our era, interest has broadened and once obscure figures now loom as industry celebrities.

So, it’s no surprise that this year’s CVPR is different. Past editions focused on where AI could go in the future. But computer vision has moved beyond future promise to a practical technology that’s begun disrupting industries from intelligent video analytics and self-driving cars to medical imaging and advertising.

CVPR 2017: NVIDIA Research Everywhere You Look

With NVIDIA technologies and partners playing roles in all these worlds, we’ll be visible everywhere at CVPR.

Members of our AI and computer vision research team were among the few selected to present their work at the main conference and workshops. Topics addressed include polarimetric multi-view stereo and dynamic facial analysis.

In addition, the team will run a special tutorial on the Theory and Application of Generative Adversarial Networks.

Other highlights include:

  • On Saturday night, NVIDIA will host a reception to recognize the work coming out of our NVIDIA AI Labs (NVAIL) program, which fuels the efforts of researchers at universities around the world. (We recently shared some of this work in a blog post.)The NVAIL reception is an opportunity for the research community to share its breakthroughs. In doing so, NVAIL partners can gain new perspectives on where to take their research, or dovetail their work with complementary efforts, accelerating future AI breakthroughs.
  • On Tuesday, NVIDIA will sponsor CVPR’s annual Women in Computer Vision dinner and workshop, with a goal of inspiring more women to join the field.With so many career opportunities emerging in computer vision, it’s a great time for women to jump in. The Women in Computer Vision event is a chance for women to network. They’ll also hear from guest speaker Shalini De Mello, a senior research scientist at NVIDIA.
  • NVIDIA’s Inception program has helped hundreds of startups accelerate their development of AI technologies. More than 20 of these companies will be at CVPR to present their research. NVIDIA employees will also have an eye out for cutting-edge research, with a goal of expanding the Inception roster of startups.
  • On Monday, NVIDIA’s Deep Learning Institute, which is on a mission to train 100,000 people in deep learning and neural networks this year, will host a sold-out workshop. For those who weren’t able to secure a spot, the institute offers online labs as an alternative.

Find Us at CVPR 2017

If you can’t get to any of these happenings, don’t despair. Come to the NVIDIA booth on the exhibition floor. We’ll point you in the right direction, whether it’s to find out more about any of our programs or to discuss career opportunities in computer vision. To stay up to date in real time, follow us on @NvidiaAI.

And even if you don’t need any direction, you can come by and check out some of the amazing technologies we’ll be showing off, including ISAAC (virtual robot simulator), TensorRT (deep learning inference optimizer), DGX Station (AI supercomputer) and our AI Co-Pilot.

Featured image credit: Alan Light, via Flickr.