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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Mastering StarCraft with AI

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

Nadeem Mohammad, posted Apr 05 2017

Researchers from Alibaba and University College London developed a deep learning-based system that learned how to execute a number of strategies for the popular real-time strategy game StarCraft.

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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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Sorting Shopping Lists with Artificial Intelligence

Research, Big Data & Data Mining, Cloud, Internet / Communications, Machine Learning & Artificial Intelligence, Retail / Etail, Tesla

Nadeem Mohammad, posted Mar 31 2017

Instacart, an Internet-based grocery delivery service, shares how they are using deep learning to help their tens of thousands personal shoppers be more efficient.

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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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AI Composer Creates Music for Films and Games

News, CUDA, cuDNN, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal / Audio Processing

Nadeem Mohammad, posted Mar 16 2017

AIVA Technologies, one of the leading startups in the field of AI music composition, developed a deep learning-based system that is the world’s first non-human to officially acquire the worldwide status of Composer.

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