Developer Voices

News, Research, CUDA, Developer Voices, GeForce, Tesla

Nadeem Mohammad, posted May 26 2017

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week: "Unless you've not been living under a rock, you know what this is ( pointing to a Titan GPU)". @MRAguy #deeplearning — Raghav (@SuperVoxel) May 19, 2017 My current dev box for #selfdriving #AI on #GPUs: triple

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Modeling Cities in 3D Using Only Image Data

Research, Cluster / Supercomputing, CUDA, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted May 19 2017

ETH Zurich scientists leveraged deep learning to automatically stich together millions of public images and video into a three-dimensional, living model of the city of Zurich. The platform called “VarCity” combines a variety of different image sources: aerial photographs, 360-degree panoramic images taken from vehicles, photos published by tourists on social networks and video material

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Developer Voices

News, Research, CUDA, Developer Voices, GeForce, Tesla

Nadeem Mohammad, posted May 19 2017

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week: Thank you @nvidia, #GTC17 was amazing. I learned a lot about GPUs and #deeplearning and their applications and met so many great people! — Beat Buesser (@BeatBuesser) May 11, 2017 #NIPS paper submitted. Good luck to everyone

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Easily Colorize Black and White Photos with AI

Features, Research, CUDA, cuDNN, GeForce, Higher Education / Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 18 2017

Researchers from University of California, Berkeley developed an interactive deep learning-based app that makes it easy to accurately colorize a black and white image in minutes. Building on the researcher’s previous work of a convolutional neural network automatically adding color to black and white photos, their new app uses the same process, but with the

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Create a 3D Caricature in Minutes with Deep Learning

Features, Research, Computer Graphics & Visualization, CUDA, cuDNN, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 15 2017

Researchers from The University of Hong Kong developed a deep learning-based sketching system that lets users easily create a 3D face in minutes. The low-cost interactive face modeling system allows the user to draw freehand imprecise 2D lines and then with the help of deep learning, they’re able to further manipulate the expressions of the

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CUDA 9 Features Revealed: Volta, Cooperative Groups and More

Features, Cooperative Groups, CUBLAS, CUDA, CUDA 9, Deep Learning, Libraries, Tensor Cores

Nadeem Mohammad, posted May 11 2017

Today at the GPU Technology Conference NVIDIA announced CUDA 9, the latest version of CUDA’s powerful parallel computing platform and programming model. In this post I’ll provide an overview of the awesome new features of CUDA 9. Support for the Volta GPU architecture, including the new Tesla V100 accelerator; Cooperative Groups, a new programming model […]

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New NVIDIA Deep Learning Software Tools for Developers

Events, News, CUDA, cuDNN, HPC, Image Recognition, Machine Learning & Artificial Intelligence, tensort

Nadeem Mohammad, posted May 10 2017

Aided by developers’ requests, NVIDIA announced a significant update to the NVIDIA SDK, which includes tools, libraries and enhancements to the CUDA programming model to help developers accelerate and build the next generation of AI and HPC applications. The latest SDK updates introduce new capabilities and performance optimizations for GPU-accelerated applications: New CUDA 9 speeds

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Introducing Metropolis – Video Analytics for Smart Cities

News, CUDA, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, tensort, Tesla

Nadeem Mohammad, posted May 08 2017

NVIDIA announced the NVIDIA Metropolis™ intelligent video analytics platform today at the GPU Technology Conference (GTC) in San Jose, CA. Metropolis makes cities safer and smarter by applying deep learning to video streams for applications such as public safety, traffic management and resource optimization. More than 50 NVIDIA AI city partner companies are already providing

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Human-like Character Animation System Uses AI to Navigate Terrains

Features, Research, CUDA, cuDNN, Games, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 02 2017

Researchers from University of Edinburgh and Method Studios developed a real-time character control mechanism using deep learning that can help virtual characters walk, run and jump a little more naturally.  “Data-driven motion synthesis using neural networks is attracting researchers in both the computer animation and machine learning communities thanks to its high scalability and runtime

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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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