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3D News

In our opinion, there are far too few people out there taking 3D images and one major reason is the perceived difficulty barrier—taking two images and combining them for a stereo effect with special software or using custom twin digital SLR camera rigs is simply too complex and/or expensive for most of us mere mortals. Enter the 3D-capable point-and-shoot, the latest of which is Panasonic’s upcoming Lumix DMC-3D1. Similar to Fujifilm...

Recent Blog Entries

On a PC, a phone or from TV, people want information. They want it at home, at work and on the move. And they want it 24/7. They also want, but seldom get, their privacy along with it.

The upstart search engine Qwant is using AI, powered by NVIDIA technology, to change that game.

The Franco-German startup, which launched in 2013, doesn’t collect users’ personal data. And it doesn’t use cookies to identify people through their browsing activity. This means users won’t have their private browsing information sold to advertising companies.

AI is at the heart of Qwant’s business model.

For most search engine users, remaining anonymous online is near impossible. Search activity and personal data are collected and compiled to tell a comprehensive history of everything people have ever searched for. This can create a detailed timeline that stretches back years.

Advertisers can use this data to target the ads people see, with sometimes disconcerting effect. Shopping for shoes online can result in footwear ads stomping across every page you visit weeks later. And search engines can use the data to adjust search results, potentially changing how a person views the world.

Qwant takes a different approach, making its money using a pay-per-click model. This means it needs highly accurate, relevant search results. And this is why AI, accelerated by the NVIDIA DGX-1 AI supercomputer, has found itself at the heart of Qwant’s search engine.

Qwant uses the DGX-1 to supercharge its deep learning applications, which require very fast analysis and processing of enormous amounts of data, and to make sure its users get highly relevant results. With deep learning, Qwant indexes and ranks what it finds on internet pages, and can better automate its understanding and classification of the content.

This lets Qwant, for example, more efficiently detect and remove spam from search results. And it can detect mature or inappropriate content, whether text, images or video, and remove it from results when the “Safe Search” feature is selected. With a single unit offering the equivalent of 250 conventional servers, the DGX-1 can speed these automated filters across vast datasets.

“Because it combines both powerful hardware and optimized software that we can build upon, the DGX-1 allows us to truly unlock our R&D efforts,” says Eric Leandri, president of Qwant.

Take the Qwant search engine for a spin at https://www.qwant.com/, and leave your ID in your wallet.

The post How Qwant Aims to Bring Privacy to the Search Engine Game with AI appeared first on The Official NVIDIA Blog.

They’re coming by air, land and sea.

Drones, robots, underwater submersibles — even an AI city, or at least the applications that power it — will all be under one roof at our GPU Technology Conference, at the San Jose Convention Center from May 8-11.

Lots to Do with a GPU

At the eighth annual GTC, you’ll hear from the movers, shakers and makers in the Internet of Things space. Amazon, Boeing, Bosch, GE, MIT and SoftBank are just some of the headliners leading 30-plus sessions in the Intelligent Machines and IoT track.

Additional highlights:

  • Out-of-this-world technology. Hear examples and demonstrations from SCISYS on how its Mars Rover development systems use GPUs to advance R&D work.
  • Getting into the weeds. Learn how Blue River Technology builds “See & Spray” robots for agriculture and the importance of creating computer vision systems for our food supply.
  • Taking robotics to a new dimension. Hear how Autodesk is applying deep learning to AI-assisted 3D design and robotic assembly in manufacturing.
  • Safety in numbers. Avigilon will discuss how its new architecture and search engine for video data relies on deep learning and GPUs to boost public safety.

Also, be on the lookout for our 20-plus demos in the GTC exhibition hall and concourse. They’ll transform the show into a tech wonderland of smart machines and applications.

Get Hands-On with Jetson

For those who prefer something a little more interactive, we’ll be hosting a variety of NVIDIA Jetson TX2 labs. Training levels range from introductory to advanced, with topics that include:

  • Jetson TX2 developer tools
  • Image classification and object detection using Jetson TX2
  • Creating a simple object detection pipeline with NVIDIA CUDA EGLStreams and TensorRT

There’s even a lab for high school students to apply deep learning to robots using Jetson through FIRST Day. This STEM initiative, meant to inspire the next-generation of innovators, takes place on May 11 from 12-5pm.

FIRST student participating in last year’s lab. Make Your Own 3D Rendering

Before you leave, swing by the Artec3D Shapify booth to get a full body 3D scan. In about 10 seconds, it will create a high-quality model that’s ready for 3D printing. You’ll be emailed a video of your 3D scan. Perfect for sharing on Twitter and Facebook!

Every body should try Artec3D’s body-scanning demo.

Register for GTC today.

The post At GTC, Glimpse the Future of Makers, Intelligent Machines and More appeared first on The Official NVIDIA Blog.