Turn Your Selfies Into 3D Models

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

Nadeem Mohammad, posted Sep 19 2017

Researchers from The University of Nottingham and Kingston University developed a deep learning-based method that automatically converts two-dimensional images of faces into 3D.

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AI Drones Help Inspect Industrial Equipment

News, Research, Architecture/Engineering/Construction, Energy/Oil & Gas, Image Recognition, Machine Learning & Artificial Intelligence, Manufacturing, Robotics, Tesla

Nadeem Mohammad, posted Sep 13 2017

Avita Systems, a GE Venture, turned to NVIDIA DGX Systems to enable advanced robotic inspection and automated defect recognition services across the oil and gas, transportation, and energy industries.

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Detecting Concussions with a Smartphone and Deep Learning

Features, Research, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 11 2017

Researchers from University of Washington developed a smartphone app that can detect concussions and other brain injuries — whether on the sidelines of a sports game or at an accident site.

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NVIDIA Researchers Release Trailblazing Deep Learning-Based Framework for Autonomous Drone Navigation

News, Autonomous, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Sep 07 2017

NVIDIA’s autonomous mobile robotics team today released a framework to enable developers to create autonomous drones that can navigate complex, unmapped places without GPS.

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AI Technology Automatically Records Soccer Matches

News, 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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