Kristen Stewart releases paper on artificial intelligence

Kristen Stewart releases paper on artificial intelligence:

  • Neural style transfer was used in the film’s opening and closing scenes to add a ‘painting’ effect to footage.
  • The actor co-wrote a case study on the ‘neural style transfer’ method used in the short film she directed, Come Swim
  • Neural style transfer’ is used to apply the aesthetic of an image onto another.
  • Stewart wrote Bringing Impressionism to Life with Neural Style Transfer in Come Swim , alongside Adobe research engineer Bhautik J Joshi and producer David Shapiro, exploring the technique used in her directorial debut.
  • Kristen Stewart releases paper on artificial intelligence

The actor co-wrote a case study on the ‘neural style transfer’ method used in the short film she directed, Come Swim
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Kristen Stewart Publishes Research Paper on Using Artificial Intelligence to Create Art, Kicks Off Sundance Film Festival

Kristen Stewart publishes a research paper on using artificial intelligence to create art.

  • Kristen Stewart Publishes Research Paper on Using Artificial Intelligence to Create Art, Kicks Off Sundance Film Festival
  • Come Swim debuted at the Sundance Film Festival on Thursday.
  • The Twilight star co-authored a research paper, which published Wednesday on Cornell Univerity’s ArXiv , an online cache of non-peer reviewed research.
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  • If you’re into the heady science aspect of visual art, you can check out Stewart’s research .

The ‘Come Swim’ writer-director explores the intersection of science, technology and visual art in her newest film.
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Year in Review: Deep Learning Breakthoughts 2016

Year in Review: #DeepLearning Breakthoughts 2016 #abdsc

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  • 2016 has been a breakthrough year for deep learning, especially for Google and DeepMind.
  • Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs.
  • (For those of you who are interested in a crash course in deep learning, ‘s a great video by Andrew Ng at Stanford.)
  • Although not the most sophisticated use of deep learning that we’ve seen, we must hand it to him for originality and capturing the zeitgeist.

Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs. (For those of you who are inter…
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DeepHand Tackles Tough Challenge Using Our Hands in VR

Researchers develop a #deeplearning-powered system for interpreting hand movements in #VR.

  • “I’ve always wanted to design and develop our hands as a key part of a user interface element, because we do so much in the real world with our hands so naturally,” Ramani said. “
  • In the real world, our hands are our guides.
  • Parts of the fingers and hands often block the view of the camera, making interpretation of hand motions sometimes impossible.
  • The use of hand gestures offers smart and intuitive communication with 3D objects.”
  • By combining depth-sensing cameras and a convolutional neural network trained on GPUs to interpret 2.5 million hand poses and configurations, the team has taken us a large step closer to being able to use our dexterity while interacting with 3D virtual objects.

DeepHand is a deep learning-powered system for interpreting hand movements in virtual environments.
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