AI Technology Automatically Records Soccer Matches

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

Nadeem Mohammad, posted Aug 31 2017

A Copenhagen startup developed a deep learning-based camera system that can detect where the action is on the soccer field, and automatically zoom and follow the ball – just like how a camera operator would do.

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Classifying Tattoos with Neural Networks

Features, Research, Cloud, cuDNN, DIGITS, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Aug 29 2017

With nearly 1.5 billion monthly visitors and 346,000 pictures of tattoos, Tattoodo is taking advantage of deep learning to help categorize the growing number of uploaded images.

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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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Scaling Keras Model Training to Multiple GPUs

Research, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Aug 17 2017

Keras is a powerful deep learning meta-framework which sits on top of existing frameworks such as TensorFlow and Theano. Keras is highly productive for developers; it often requires 50% less code to define a model than native APIs of deep learning fr

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Artificial Intelligence Helps Identify Plant Species for Science

Features, cuDNN, GeForce, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Aug 15 2017

Researchers from the Costa Rica Institute of Technology and French Agricultural Research Centre for International Development developed a deep learning algorithm to automatically identify plant specimens that have been pressed, dried and mounted on h

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Scaling TensorFlow and Caffe to 256 GPUs

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

Nadeem Mohammad, posted Aug 08 2017

IBM Research unveiled a “Distributed Deep Learning” (DDL) library that enables cuDNN-accelerated deep learning frameworks like TensorFlow, Caffe, Torch and Chainer to scale to tens of IBM servers leveraging hundreds of GPUs.

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Speed to Safety: Autonomous RC Car Aids Emergency Evacuation

Research, Automotive, Autonomous, cuDNN, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Quadro, TensorRT, Tesla

Nadeem Mohammad, posted Aug 04 2017

By Abhinav Ayalur, Isaac Wilcove, Lynn Dang, Ricky Avina The alarm is ringing. You smell smoke and see people running for the exit, but you don’t do the same. Why? Because you’re the fire marshal.

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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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Profiling the AI Performance Boost in OptiX 5

Features, News, Computer Graphics & Visualization, Games, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jul 31 2017

By Vincent Brisebois and Ankit Patel, NVIDIA OptiX 5.0 introduces a new post-processing feature to denoise images.

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Inferencing Images 100x Faster with GPUs and TensorRT

Research, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence, Robotics, TensorRT, Tesla

Nadeem Mohammad, posted Jul 25 2017

At this week’s Computer Vision and Pattern Recognition conference, NVIDIA demonstrated how one Tesla V100 running NVIDIA TensorRT can perform a common inferencing task 100X faster than a system without GPUs.

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