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6 Can’t Miss Experiences at the GPU Technology Conference

6 Can’t Miss Experiences at the GPU Technology Conference

6 Can’t Miss Experiences at the GPU Technology Conference

Explore the future of artificial intelligent and deep learning, experience virtual reality, and see what the future holds for self-driving cars at the GPU Technology Conference in Silicon Valley, April 4-7.

In addition to keynotes by notable speakers that include NVIDIA CEO Jen-Hsun Hung, Toyota Research Institute CEO Gill Pratt, and IBM Watson CTO Rob High, as well as over 500 talks, tutorials and scientific posters – here are the top six must-see things at GTC this year:

  1. AI Playground: Interact with hands-on deep learning demos from universities, start-ups and well-known companies like Baidu, Twitter and Yahoo.

  1. VR Village: New this year, experience the latest advances in a variety of immersive virtual reality experiences from a wide-range of industries including gaming, media & entertainment, manufacturing, medicine and science.
  1. Emerging Companies Summit Pavilion: Over 90 start-ups will showcase how they are using GPUs to solve some of the world’s most complex challenges. Twelve of the participants will be vying for $100,000 at the Early Stage Challenge.
  1. Hands-on Labs: Take one of the intensive 26 instructor-led labs that range from 90 to 180 minutes covering a wide-range of topics, from the comfort of your own laptop. Attendees looking for more training can grab a seat in the self-paced labs area or try them from anywhere for free, using promo code GTC16_EARLYBIRD to receive free credits on NVIDIA’s cloud-based learning platform.
  1. Share Your Science: This is a great opportunity to share how you are doing amazing work with GPUs. NVIDIA will be video interviewing developers, researchers and scientists and then amplifying your stories to the broader community. Fill out this short form to be considered for an interview.
  1. Face2Face Demo: A team of researchers from Stanford, the Max Planck Institute for Informatics and the University of Erlangen-Nuremberg are using TITAN X GPUs and CUDA to manipulate YouTube videos with real-time facial reenactment that works with any commodity webcam. You can experience the magic of the Face2Face demo in person at the NVIDIA booth.

Register by April 2 to save up to $300, and see what the future holds at the GPU Technology Conference.

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About me

My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
Click here to CV Resume page

Related topics such as image processing, machine vision, virtual reality, machine learning, data mining, and monitoring systems are my research interests, and I intend to pursue a PhD in one of these fields.

جهت نمایش صفحه معرفی و رزومه کلیک کنید

My Scientific expertise
  • Image processing
  • Machine vision
  • Machine learning
  • Pattern recognition
  • Data mining - Big Data
  • CUDA Programming
  • Game and Virtual reality

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