AI App Predicts the Popularity of Social Media Posts

News, Cloud, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Aug 25 2017

Cornea AI takes the guesswork out of photo sharing by using deep learning to predict how well your photo will do on social platforms.

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App Uses Deep Learning to Automatically Retouch Photos Before You Take Them

Research, Computational Photography, cuDNN, GeForce, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Aug 02 2017

At this week’s SIGGRAPH conference, researchers from MIT and Google presented a new deep learning system that automatically retouches your photos like a professional photographer in real-time, before you even take them.

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Developer Spotlight: Creating Photorealistic CGI Environments

News, Computational Photography, Computer Graphics & Visualization, CUDA, Developer Spotlight, Games, Media & Entertainment, Quadro

Nadeem Mohammad, posted Jul 27 2017

Get to know Rense de Boer, a technical art director from Sweden, who is not only pushing the envelope of photo-real CGI environments, but he’s doing it all in a real-time engine!

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Generating Expressive 3D Facial Animations From Audio

Events, Research, cuDNN, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal/Audio Processing

Nadeem Mohammad, posted Jul 26 2017

Researchers from NVIDIA and the independent game developer Remedy Entertainment developed an automated real-time deep learning technique to create 3D facial animations from audio with low latency.

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AI Learns to Lip-Sync From Audio Clips

Research, cuDNN, GeForce, Higher Education/Academia, Image Recognition, Media & Entertainment, Signal/Audio Processing, Virtual Reality

Nadeem Mohammad, posted Jul 12 2017

University of Washington researchers developed a deep learning-based system that converts audio files into realistic mouth shapes, which are then grafted onto and blended with the head of that person from another existing video.

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Turn Your Selfies Into Chat Stickers

News, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Jul 11 2017

The developers of Prisma, Apple’s 2016 iPhone App of the Year, launched their second AI-based app called Sticky AI that turns your selfies into stickers to use in messages and on social networks.

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Expedia Ranking Hotel Images with Deep Learning

Features, News, Cloud, cuDNN, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jul 05 2017

Nuno Castro, the Director of Data Science at Expedia gave a talk at PyData London 2017 on how they’re using GPUs and deep learning to rank hotel images.

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AI Generates Songs to Resemble Kurt Cobain

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

Nadeem Mohammad, posted Jun 28 2017

creAIted, a Russian startup, released an EP with four songs entirely written by a neural network that resemble the lyrics of Nirvana frontman Kurt Cobain.  The startup who is also a member of the NVIDIA Inception program is focused on projects to sho

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Facebook Training AI Bots to Negotiate with Humans

Features, Research, CUDA, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Jun 15 2017

Researchers at Facebook Artificial Intelligence Research (FAIR) published a paper introducing AI-based dialog agents that can negotiate and compromise.

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Facebook Trains ImageNet in 1 Hour

Research, Cluster / Supercomputing, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jun 08 2017

Facebook published a paper today detailing how they are able to train nearly 1.3 million images in under an hour using 256 Tesla P100 GPUs that previously took days on a single system.

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