Personalized Aesthetics: Recording the Visual Mind using Machine Learning

Features, Deep Learning, Machine Learning, photography, Theano

Nadeem Mohammad, posted Mar 29 2017

Visual aesthetics are very personal, often subconscious, and hard to express.  In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs, and it’s often hard to separate the good images from the visual noise. The question we put forward at EyeEm is: can a machine […]

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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. But visual aesthetics are very personal, often subconscious, and hard to express. In a world with an

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Microsoft PIX Adds NVIDIA GPU Counters

GameWorks, DirectX 12

David Coombes, posted Mar 28 2017

At GDC 17 Microsoft announced the addition of NVIDIA hardware performance counters to PIX. PIX is Microsoft's DirectX 12 performance tuning and debugging tool for game developers. The counters are implemented using PerfWorks, NVIDIA's C++ API. Nearly 300 counters are exposed giving developers a deeper insight into the performance and rendering of their applications than was previously possible.

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3D Map of Earth’s Interior

Features, Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Government / National Labs, Higher Education / Academia, Tesla

Nadeem Mohammad, posted Mar 28 2017

A team of researchers led by Jeroen Tromp at Princeton University used a GPU-accelerated supercomputer to create a detailed 3D picture of Earth’s interior. “This is the first global seismic model where no approximations — other than the chosen numerical method — were used to simulate how seismic waves travel through the Earth and how

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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 electron microscope (SEM) imagery. The goal of the project is to ultimately understand how the neurons in our brains are wired.

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