DesignWorks GTC 2017 Release is now available!

DesignWorks, OptiX, Iray, MDL, Video Processing, GVDB, Voxels

Vincent Brisebois, posted May 02 2017

Get the latest SDK and tools designed for developers creating professional graphics, advanced rendering, video processing, material design, and 3D printing. We are excited to share a comprehensive update of our innovative and industry leading SDKs and tools for the DesignWorks GTC 2017 release.

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Recreate Any Voice Using One Minute of Sample Audio

Research, CUDA, cuDNN, GeForce, Higher Education / Academia, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal / Audio Processing

Nadeem Mohammad, posted Apr 27 2017

A Montreal-based startup developed a set of deep learning algorithms that can copy anyone’s voice with only 60 seconds of sample audio. Lyrebird, a startup spin-off from the MILA lab at University of Montréal and advised by Aaron Courville and Yoshua Bengio claims to be the first of its kind to allow copying voices in

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VRWorks Support for Unity Now Available

GameWorks, GameWorks Expert Developer, VRWorks, DesignWorks, VR, Unity Engine

Vincent Brisebois, posted Apr 26 2017

Continuing our joint effort to deliver amazing VR experiences, game development platform Unity today released 2017.1.0 Beta 2 which enables support for our VRWorks technology.

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Artificial Intelligence Could Help Diagnose Tuberculosis

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 25 2017

Researchers from Thomas Jefferson University Hospital in Philadelphia are training deep learning models to identify tuberculosis (TB) in an effort to help patients in regions with limited access to radiologists. TB is one of the top ten causes of death worldwide with nearly two million deaths in 2016. TB can be identified on chest imaging,

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Photo Editing with Generative Adversarial Networks (Part 2)

Features, Deep Learning, DIGITS, GAN, TensorFlow

Nadeem Mohammad, posted Apr 24 2017

In part 1 of this series I introduced Generative Adversarial Networks (GANs) and showed how to generate images of handwritten digits using a GAN. In this post I will do something much more exciting: use Generative Adversarial Networks to generate images of celebrity faces. I am going to use CelebA [1], a dataset of 200,000 […]

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