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.

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Edit Photos with GANs

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

Nadeem Mohammad, posted Apr 20 2017

In machine learning, a generative model learns to generate samples that have a high probability of being real samples like the samples from the training dataset. Generative Adversarial Networks (GANs) are a very hot topic in Machine Learning.

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Satellite Images Help Track a Vehicle

Research, Automotive, CUDA, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 12 2017

Researchers from the Toyota Technological Institute at Chicago (TTIC) and Carnegie Mellon University developed a deep learning-based method that locates a ground vehicle by using satellite imagery as the only prior knowledge of the environment.

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Automatically Identify Wild Animals in Camera-Trap Images

News, CUDA, cuDNN, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 11 2017

A research team led by University of Wyoming developed a deep learning-based system to identify species in the Serengeti National Park in Tanzania that could make it easier for ecologists to track animals in the wild.

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Deep Learning Predicts the Look of Cells

Features, Research, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Apr 07 2017

The Allen Institute for Cell Science launched a one-of-a-kind online portal of 3D cell images called Allen Cell Explorer that were produced using deep learning.

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Get the Best Performance for Your Neural Networks with TensorRT

Research, Automotive, Embedded, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 03 2017

NVIDIA TensorRT is a high-performance deep learning inference library for production environments.

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Personalized Aesthetics: Recording the Visual Mind

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

Nadeem Mohammad, posted Mar 29 2017

Most people in the world own a camera and take photographs—trillions of photos every year. An imminent problem is how to organize, search and re-use our photographs, and deep learning methods have already been successful in such tasks.

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Developer Spotlight: Automated Biomedical Image Annotation

Research, Cluster / Supercomputing, Developer Spotlight, Government / National Labs, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Neuroscience, Tesla

Nadeem Mohammad, posted Mar 24 2017

Ishtar Nyawira, a data science intern at the Pittsburgh Supercomputer Center shares how she is using deep learning and the GPU-accelerated Bridges supercomputer to automate the process of biological image annotation from high-resolution scanning elec

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AI System Helps Detect and Manage Traffic Incidents

Research, Big Data & Data Mining, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Mar 23 2017

Iowa State University researchers are developing a deep learning-based system to help the Iowa Department of Transportation improve incident detection and support operator decision-making.

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Automatically Remove Backgrounds From Images

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

Nadeem Mohammad, posted Mar 22 2017

Researchers from Adobe, the Beckman Institute for Advanced Science and Technology and University of Illinois at Urbana-Champaign developed a deep learning-based method that clips objects from photos and videos.

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