Predicting Photos’ Memorability at “Near-Human” Levels with Deep Learning

Research, Academic, Deep Learning, Image Processing

Nadeem Mohammad, posted Jan 08 2016

MIT researchers just released a new GPU-accelerated algorithm that can predict how memorable or forgettable an image is almost as accurately as humans — and they plan to turn it into an app that subtly tweaks photos to make them more memorable. Using a TITAN X GPU and deep learning, the “MemNet” algorithm creates a

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Developing New Materials with GPU-Accelerated Supercomputers

Research, Academic, CUDA, Material Science, Molecular Dynamics, Monte Carlo, Python, SuperComputing

Nadeem Mohammad, posted Jan 07 2016

Research Area Specialist Dr. Joshua A. Anderson at University of Michigan was an early user of GPU computing technology. He began his career developing software on the first CUDA capable GPU, and now runs simulations on one of the world’s most powerful supercomputers. His “contributions to the development and dissemination of the open source, GPU-enabled

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Developing New Materials with GPU-Accelerated Supercomputers

CUDA Spotlight, CUDA, Materials Science, Molecular Dynamics, Monte Carlo, Python

Nadeem Mohammad, posted Jan 06 2016

Dr. Joshua A. Anderson is a Research Area Specialist at the University of Michigan who was an early user of GPU computing technology. He began his career developing software on the first CUDA capable GPU and now runs simulations on one of the world’s most powerful supercomputers. Anderson’s “contributions to the development and dissemination of

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Upcoming Webinar: Machine Learning and Computer Vision are Redefining Visual Search

Events, Defense, Image Classification, Machine Learning, Video Classification, webinar

Nadeem Mohammad, posted Jan 06 2016

Every second, Millions of videos are generated and consumed every second. From the projected 859 petabytes of footage from surveillance cameras to the over two billion images and videos uploaded daily to social platforms, visual content is exploding. However, huge gaps exist between simply storing lots of data and the intelligent, insightful, and actionable understanding

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Android M support now available in new NVIDIA CodeWorks for Android 1R4!

GameWorks, Android, CodeWorks, AndroidWorks, Developer Tools

Eric Foo, posted Dec 23 2015

Today, we've released NVIDIA CodeWorks for Android 1R4. Release 1R4 adds full tools, libraries, samples support for the latest Android M (Marshmallow) release.

CodeWorks for Android is a professional grade solution providing a comprehensive set of GPU and CPU tools with debugging, profiling and system trace capabilities and accompanying SDKs and libraries for Android development - not only on Tegra powered devices.

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